Transistors, the building blocks of modern electronics, are typically made of silicon. Because it’s a semiconductor, this material can control the flow of electricity in a circuit. But silicon has fundamental physical limits that restrict how compact and energy-efficient a transistor can be.

MIT researchers have now replaced silicon with a magnetic semiconductor, creating a magnetic transistor that could enable smaller, faster, and more energy-efficient circuits. The material’s magnetism strongly influences its electronic behavior, leading to more efficient control of the flow of electricity. 

The team used a novel magnetic material and an optimization process that reduces the material’s defects, which boosts the transistor’s performance.

The material’s unique magnetic properties also allow for transistors with built-in memory, which would simplify circuit design and unlock new applications for high-performance electronics.

“People have known about magnets for thousands of years, but there are very limited ways to incorporate magnetism into electronics. We have shown a new way to efficiently utilize magnetism that opens up a lot of possibilities for future applications and research,” says Chung-Tao Chou, an MIT graduate student in the departments of Electrical Engineering and Computer Science (EECS) and Physics, and co-lead author of a paper on this advance.

Chou is joined on the paper by co-lead author Eugene Park, a graduate student in the Department of Materials Science and Engineering (DMSE); Julian Klein, a DMSE research scientist; Josep Ingla-Aynes, a postdoc in the MIT Plasma Science and Fusion Center; Jagadeesh S. Moodera, a senior research scientist in the Department of Physics; and senior authors Frances Ross, TDK Professor in DMSE; and Luqiao Liu, an associate professor in EECS, and a member of the Research Laboratory of Electronics; as well as others at the University of Chemistry and Technology in Prague. The paper appears today in Physical Review Letters.

Overcoming the limits

In an electronic device, silicon semiconductor transistors act like tiny light switches that turn a circuit on and off, or amplify weak signals in a communication system. They do this using a small input voltage.

But a fundamental physical limit of silicon semiconductors prevents a transistor from operating below a certain voltage, which hinders its energy efficiency.

To make more efficient electronics, researchers have spent decades working toward magnetic transistors that utilize electron spin to control the flow of electricity. Electron spin is a fundamental property that enables electrons to behave like tiny magnets.

So far, scientists have mostly been limited to using certain magnetic materials. These lack the favorable electronic properties of semiconductors, constraining device performance.

“In this work, we combine magnetism and semiconductor physics to realize useful spintronic devices,” Liu says.

The researchers replace the silicon in the surface layer of a transistor with chromium sulfur bromide, a two-dimensional material that acts as a magnetic semiconductor.

Due to the material’s structure, researchers can switch between two magnetic states very cleanly. This makes it ideal for use in a transistor that smoothly switches between “on” and “off.”

“One of the biggest challenges we faced was finding the right material. We tried many other materials that didn’t work,” Chou says.

They discovered that changing these magnetic states modifies the material’s electronic properties, enabling low-energy operation. And unlike many other 2D materials, chromium sulfur bromide remains stable in air.

To make a transistor, the researchers pattern electrodes onto a silicon substrate, then carefully align and transfer the 2D material on top. They use tape to pick up a tiny piece of material, only a few tens of nanometers thick, and place it onto the substrate.

“A lot of researchers will use solvents or glue to do the transfer, but transistors require a very clean surface. We eliminate all those risks by simplifying this step,” Chou says.

Leveraging magnetism

This lack of contamination enables their device to outperform existing magnetic transistors. Most others can only create a weak magnetic effect, changing the flow of current by a few percent or less. Their new transistor can switch or amplify the electric current by a factor of 10.

They use an external magnetic field to change the magnetic state of the material, switching the transistor using significantly less energy than would usually be required.

The material also allows them to control the magnetic states with electric current. This is important because engineers cannot apply magnetic fields to individual transistors in an electronic device. They need to control each one electrically.

The material’s magnetic properties could also enable transistors with built-in memory, simplifying the design of logic or memory circuits.

A typical memory device has a magnetic cell to store information and a transistor to read it out. Their method can combine both into one magnetic transistor.

“Now, not only are transistors turning on and off, they are also remembering information. And because we can switch the transistor with greater magnitude, the signal is much stronger so we can read out the information faster, and in a much more reliable way,” Liu says.

Building on this demonstration, the researchers plan to further study the use of electrical current to control the device. They are also working to make their method scalable so they can fabricate arrays of transistors.

This research was supported, in part, by the Semiconductor Research Corporation, the U.S. Defense Advanced Research Projects Agency (DARPA), the U.S. National Science Foundation (NSF), the U.S. Department of Energy, the U.S. Army Research Office, and the Czech Ministry of Education, Youth, and Sports. The work was partially carried out at the MIT.nano facilities.

Robert Liebeck, a professor of the practice in the MIT Department of Aeronautics and Astronautics and one of the world’s leading experts on aircraft design, aerodynamics, and hydrodynamics, died on Jan. 12 at age 87.

“Bob was a mentor and dear friend to so many faculty, alumni, and researchers at AeroAstro over the course of 25 years,” says Julie Shah, department head and the H.N. Slater Professor of Aeronautics and Astronautics at MIT. “He’ll be deeply missed by all who were fortunate enough to know him.”

Liebeck’s long and distinguished career in aerospace engineering included a number of foundational contributions to aerodynamics and aircraft design, beginning with his graduate research into high-lift airfoils. His novel designs came to be known as “Liebeck airfoils” and are used primarily for high-altitude reconnaissance airplanes; Liebeck airfoils have also been adapted for use in Formula One racing cars, racing sailboats, and even a flying replica of a giant pterosaur.

He was perhaps best known for his groundbreaking work on blended wing body (BWB) aircraft. He oversaw the BWB project at Boeing during his celebrated five-decade tenure at the company, working closely with NASA on the X-48 experimental aircraft. After retiring as senior technical fellow at Boeing in 2020, Liebeck remained active in BWB research. He served as technical advisor at BWB startup JetZero, which is aiming to build a more fuel-efficient aircraft for both military and commercial use and has set a target date of 2027 for its demonstration flight. 

Liebeck was appointed a professor of the practice at MIT in 2000, and taught classes on aircraft design and aerodynamics. 

“Bob contributed to the department both in aircraft capstones and also in advising students and mentoring faculty, including myself,” says John Hansman, the T. Wilson Professor of Aeronautics and Astronautics. “In addition to aviation, Bob was very significant in car racing and developed the downforce wing and flap system which has become standard on F1, IndyCar, and NASCAR cars.”

He was a major contributor to the Silent Aircraft Project, a collaboration between MIT and Cambridge University led by Dame Ann Dowling. Liebeck also worked closely with Professor Woody Hoburg ’08 and his research group, advising on students’ research into efficient methods for designing aerospace vehicles. Before Hoburg was accepted into the NASA astronaut corps in 2017, the group produced an open-source Python package, GPkit, for geometric programming, which was used to design a five-day endurance unmanned aerial vehicle for the U.S. Air Force.

“Bob was universally respected in aviation and he was a good friend to the department,” remembers Professor Ed Greitzer.

Liebeck was an AIAA honorary fellow and Boeing senior technical fellow, as well as a member of the National Academy of Engineering, Royal Aeronautical Society, and Academy of Model Aeronautics. He was a recipient of the Guggenheim Medal and ASME Spirit of St. Louis Medal, among many other awards, and was inducted into the International Air and Space Hall of Fame.

An avid runner and motorcyclist, Liebeck is remembered by friends and colleagues for his adventurous nature and generosity of spirit. Throughout a career punctuated by honors and achievements, Liebeck found his greatest satisfaction in teaching. In addition to his role at MIT, he was an adjunct faculty member at University of California at Irving and served as faculty member for that university’s Design/Build/Fly and Human-Powered Airplane teams.

“It is the one job where I feel I have done some good — even after a bad lecture,” he told AeroAstro Magazine in 2007. “I have decided that I am finally beginning to understand aeronautical engineering, and I want to share that understanding with our youth.”

More than 200 years ago, the steam boiler helped spark the Industrial Revolution. Since then, steam has been the lifeblood of industrial activity around the world. Today the production of steam — created by burning gas, oil, or coal to boil water — accounts for a significant percentage of global energy use in manufacturing, powering the creation of paper, chemicals, pharmaceuticals, food, and more.

Now, the startup AtmosZero, founded by Addison Stark SM ’10, PhD ’14; Todd Bandhauer; and Ashwin Salvi, is taking a new approach to electrify the centuries-old steam boiler. The company has developed a modular heat pump capable of delivering industrial steam at temperatures up to 150 degrees Celsius to serve as a drop-in replacement for combustion boilers.

The company says its first 1-megawatt steam system is far cheaper to operate than commercially available electric solutions thanks to ultra-efficient compressor technology, which uses 50 percent less electricity than electric resistive boilers. The founders are hoping that’s enough to make decarbonized steam boilers drive the next industrial revolution.

“Steam is the most important working fluid ever,” says Stark, who serves as AtmosZero’s CEO. “Today everything is built around the ubiquitous availability of steam. Cost-effectively electrifying that requires innovation that can scale. In other words, it requires a mass-produced product — not one-off projects.”

Tapping into steam

Stark joined the Technology and Policy Program when he came to MIT in 2007. He ultimately completed a dual master’s degree by adding mechanical engineering to his studies.

“I was interested in the energy transition and in accelerating solutions to enable that,” Stark says. “The transition isn’t happening in a vacuum. You need to align economics, policy, and technology to drive that change.”

Stark stayed at MIT to earn his PhD in mechanical engineering, studying thermochemical biofuels.

After MIT, Stark began working on early-stage energy technologies with the Department of Energy’s Advanced Research Projects Agency— Energy (ARPA-E), with a focus on manufacturing efficiency, the energy-water nexus, and electrification.

“Part of that work involved applying my training at MIT to things that hadn’t really been innovated on for 50 years,” Stark says. “I was looking at the heat exchanger. It’s so fundamental. I thought, ‘How might we reimagine it in the context of modern advances in manufacturing technology?’”

The problem is as difficult as it is consequential, touching nearly every corner of the global industrial economy. More than 2.2 gigatons of CO2 emissions are generated each year to turn water into steam — accounting for more than 5 percent of global energy-related emissions.

In 2020, Stark co-authored an article in the journal Joule with Gregory Thiel SM ’12, PhD ’15 titled, “To decarbonize industry, we must decarbonize heat.” The article examined opportunities for industrial heat decarbonization, and it got Stark excited about the potential impact of a standardized, scalable electric heat pump.

Most electric boiler options today bring huge increases in operating costs. Many also make use of factory waste heat, which requires pricey retrofits. Stark never imagined he’d become an entrepreneur, but he soon realized no one was going to act on his findings for him.

“The only path to seeing this invention brought out into the world was to found and run the company,” Stark says. “It’s something I didn’t anticipate or necessarily want, but here I am.”

Stark partnered with former ARPA-E awardee Todd Bandhauer, who had been inventing new refrigerant compressor technology in his lab at Colorado State University, and former ARPA-E colleague Ashwin Salvi. The team officially founded AtmosZero in 2022.

“The compressor is the engine of the heat pump and defines the efficiency, cost, and performance,” Stark says. “The fundamental challenge of delivering heat is that the higher your heat pump is raising the air temperature, the lower your maximum efficiency. It runs into thermodynamic limitations. By designing for optimum efficiency in the operational windows that matter for the refrigerants we’re using, and for the precision manufacturing of our compressors, we’re able to maximize the individual stages of compression to maximize operational efficiency.”

The system can work with waste heat from air or water, but it doesn’t need waste heat to work. Many other electric boilers rely on waste heat, but Stark thinks that adds too much complexity to installation and operations.

Instead, in AtmosZero’s novel heat pump cycle, heat from ambient-temperature air is used to warm a liquid heat transfer material, which evaporates a refrigerant so it flows into the system’s series of compressors and heat exchangers, reaching high enough temperatures to boil water while recovering heat from the refrigerant once it reaches lower temperatures. The system can be ramped up and down to seamlessly fit into existing industrial processes.

“We can work just like a combustion boiler,” Stark says. “At the end of the day, customers don’t want to change how their manufacturing facilities operate in order to electrify. You can’t change or increase complexity on-site.”

That approach means the boiler can be deployed in a range of industrial contexts without unique project costs or other changes.

“What we really offer is flexibility and something that can drop in with ease and minimize total capital costs,” Stark says.

From 1 to 1,000

AtmosZero already has a pilot 650 kilowatt system operating at a customer facility near its headquarters in Loveland, Colorado. The company is currently focused on demonstrating year-round durability and reliability of the system as they work to build out their backlog of orders and prepare to scale. 

Stark says once the system is brought to a customer’s facility, it can be installed in an afternoon and deployed in a matter of days, with zero downtime.

AtmosZero is aiming to deliver a handful of units to customers over the next year or two, with plans to deploy hundreds of units a year after that. The company is currently targeting manufacturing plants using under 10 megawatts of thermal energy at peak demand, which represents most U.S. manufacturing facilities.

Stark is proud to be part of a growing group of MIT-affiliated decarbonization startups, some of which are targeting specific verticals, like Boston Metal for steel and Sublime Systems for cement. But he says beyond the most common materials, the industry gets very fragmented, with one of the only common threads being the use of steam.

“If we look across industrial segments, we see the ubiquity of steam,” Stark says. “It’s a tremendously ripe opportunity to have impact at scale. Steam cannot be removed from industry. So much of every industrial process that we’ve designed over the last 160 years has been around the availability of steam. So, we need to focus on ways to deliver low-emissions steam rather than removing it from the equation.”

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to test whenever a model is deployed in a new setting.

“We demonstrate that even when you train models on large amounts of data, and choose the best average model, in a new setting this ‘best model’ could be the worst model for 6-75 percent of the new data,” says Marzyeh Ghassemi, an associate professor in MIT’s Department of Electrical Engineering and Computer Science (EECS), a member of the Institute for Medical Engineering and Science, and principal investigator at the Laboratory for Information and Decision Systems.

In a paper that was presented at the Neural Information Processing Systems (NeurIPS 2025) conference in December, the researchers point out that models trained to effectively diagnose illness in chest X-rays at one hospital, for example, may be considered effective in a different hospital, on average. The researchers’ performance assessment, however, revealed that some of the best-performing models at the first hospital were the worst-performing on up to 75 percent of patients at the second hospital, even though when all patients are aggregated in the second hospital, high average performance hides this failure.

Their findings demonstrate that although spurious correlations — a simple example of which is when a machine-learning system, not having “seen” many cows pictured at the beach, classifies a photo of a beach-going cow as an orca simply because of its background — are thought to be mitigated by just improving model performance on observed data, they actually still occur and remain a risk to a model’s trustworthiness in new settings. In many instances — including areas examined by the researchers such as chest X-rays, cancer histopathology images, and hate speech detection — such spurious correlations are much harder to detect.

In the case of a medical diagnosis model trained on chest X-rays, for example, the model may have learned to correlate a specific and irrelevant marking on one hospital’s X-rays with a certain pathology. At another hospital where the marking is not used, that pathology could be missed.

Previous research by Ghassemi’s group has shown that models can spuriously correlate such factors as age, gender, and race with medical findings. If, for instance, a model has been trained on more older people’s chest X-rays that have pneumonia and hasn’t “seen” as many X-rays belonging to younger people, it might predict that only older patients have pneumonia.

“We want models to learn how to look at the anatomical features of the patient and then make a decision based on that,” says Olawale Salaudeen, an MIT postdoc and the lead author of the paper, “but really anything that’s in the data that’s correlated with a decision can be used by the model. And those correlations might not actually be robust with changes in the environment, making the model predictions unreliable sources of decision-making.”

Spurious correlations contribute to the risks of biased decision-making. In the NeurIPS conference paper, the researchers showed that, for example, chest X-ray models that improved overall diagnosis performance actually performed worse on patients with pleural conditions or enlarged cardiomediastinum, meaning enlargement of the heart or central chest cavity.

Other authors of the paper included PhD students Haoran Zhang and Kumail Alhamoud, EECS Assistant Professor Sara Beery, and Ghassemi.

While previous work has generally accepted that models ordered best-to-worst by performance will preserve that order when applied in new settings, called accuracy-on-the-line, the researchers were able to demonstrate examples of when the best-performing models in one setting were the worst-performing in another.

Salaudeen devised an algorithm called OODSelect to find examples where accuracy-on-the-line was broken. Basically, he trained thousands of models using in-distribution data, meaning the data were from the first setting, and calculated their accuracy. Then he applied the models to the data from the second setting. When those with the highest accuracy on the first-setting data were wrong when applied to a large percentage of examples in the second setting, this identified the problem subsets, or sub-populations. Salaudeen also emphasizes the dangers of aggregate statistics for evaluation, which can obscure more granular and consequential information about model performance.

In the course of their work, the researchers separated out the “most miscalculated examples” so as not to conflate spurious correlations within a dataset with situations that are simply difficult to classify.

The NeurIPS paper releases the researchers’ code and some identified subsets for future work.

Once a hospital, or any organization employing machine learning, identifies subsets on which a model is performing poorly, that information can be used to improve the model for its particular task and setting. The researchers recommend that future work adopt OODSelect in order to highlight targets for evaluation and design approaches to improving performance more consistently.

“We hope the released code and OODSelect subsets become a steppingstone,” the researchers write, “toward benchmarks and models that confront the adverse effects of spurious correlations.”

Our thoughts are specified by our knowledge and plans, yet our cognition can also be fast and flexible in handling new information. How does the well-controlled and yet highly nimble nature of cognition emerge from the brain’s anatomy of billions of neurons and circuits? 

A study by researchers in The Picower Institute for Learning and Memory at MIT provides new evidence from tests in animals that the answer might be found within a theory called “spatial computing.”

First proposed in 2023 by Picower Professor Earl K. Miller and colleagues Mikael Lundqvist and Pawel Herman, spatial computing theory explains how neurons in the prefrontal cortex can be organized on the fly into a functional group capable of carrying out the information processing required by a cognitive task. Moreover, it allows for neurons to participate in multiple such groups, as years of experiments have shown that many prefrontal neurons can indeed participate in multiple tasks at once. 

The basic idea of the theory is that the brain recruits and organizes ad hoc “task forces” of neurons by using “alpha” and “beta” frequency brain waves (about 10-30Hz) to apply control signals to physical patches of the prefrontal cortex. Rather than having to rewire themselves into new physical circuits every time a new task must be done, the neurons in the patch instead process information by following the patterns of excitation and inhibition imposed by the waves.

Think of the alpha and beta frequency waves as stencils that shape when and where in the prefrontal cortex groups of neurons can take in or express information from the senses, Miller says. In that way, the waves represent the rules of the task and can organize how the neurons electrically “spike” to process the information content needed for the task.

“Cognition is all about large-scale neural self-organization,” says Miller, senior author of the paper in Current Biology and a faculty member in MIT’s Department of Brain and Cognitive Sciences. “Spatial computing explains how the brain does that.”

Testing five predictions

A theory is just an idea. In the study, lead author Zhen Chen and other current and former members of Miller’s lab put spatial computing to the test by examining whether five predictions it makes about neural activity and brain wave patterns were actually evident in measurements made in the prefrontal cortex of animals as they engaged in two working memory and one categorization tasks. Across the tasks there were distinct pieces of sensory information to process (e.g., “A blue square appeared on the screen followed by a green triangle”) and rules to follow (e.g., “When new shapes appear on the screen, do they match the shapes I saw before and appear in the same order?”)

The first two predictions were that alpha and beta waves should represent task controls and rules, while the spiking activity of neurons should represent the sensory inputs. When the researchers analyzed the brain wave and spiking readings gathered by the four electrode arrays implanted in the cortex, they found that indeed these predictions were true. Neural spikes, but not the alpha/beta waves, carried sensory information. While both spikes and the alpha/beta waves carried task information, it was strongest in the waves, and it peaked at times relevant to when rules were needed to carry out the tasks.

Notably, in the categorization task, the researchers purposely varied the level of abstraction to make categorization more or less cognitively difficult. The researchers saw that the greater the difficulty, the stronger the alpha/beta wave power was, further showing that it carries task rules.

The next two predictions were that alpha/beta would be spatially organized, and that when and where it was strong, the sensory information represented by spiking would be suppressed, but where and when it was weak, spiking would increase. These predictions also held true in the data. Under the electrodes, Chen, Miller, and the team could see distinct spatial patterns of higher or lower wave power, and where power was high, the sensory information in spiking was low, and vice versa.

Finally, if spatial computing is valid, the researchers predicted, then trial by trial, alpha/beta power and timing should accurately correlate with the animals’ performance. Sure enough, there were significant differences in the signals on trials where the animals performed the tasks correctly versus when they made mistakes. In particular, the measurements predicted mistakes due to messing up task rules versus sensory information. For instance, alpha/beta discrepancies pertained to the order in which stimuli appeared (first square then triangle) rather than the identity of the individual stimuli (square or triangle).

Compatible with findings in humans

By conducting this study with animals, the researchers were able to make direct measurements of individual neural spikes as well as brain waves, and in the paper, they note that other studies in humans report some similar findings. For instance, studies using noninvasive EEG and MEG brain wave readings show that humans use alpha oscillations to inhibit activity in task-irrelevant areas under top-down control, and that alpha oscillations appear to govern task-related activity in the prefrontal cortex.

While Miller says he finds the results of the new study, and their intersection with human studies, to be encouraging, he acknowledges that more evidence is still needed. For instance, his lab has shown that brain waves are typically not still (like a jump rope), but travel across areas of the brain. Spatial computing should account for that, he says.

In addition to Chen and Miller, the paper’s other authors are Scott Brincat, Mikael Lundqvist, Roman Loonis, and Melissa Warden.

The U.S. Office of Naval Research, The Freedom Together Foundation, and The Picower Institute for Learning and Memory funded the study.

Gemstones like precious opal are beautiful to look at and deceivingly complex. As you look at such gems from different angles, you’ll see a variety of tints glisten, causing you to question what color the rock actually is. It’s iridescent thanks to something called structural color — microscopic structures that reflect light to produce radiant hues.

Structural color can be found across different organisms in nature, such as on the tails of peacocks and the wings of certain butterflies. Scientists and artists have been working to replicate this quality, but outside of the lab, it’s still very hard to recreate, causing a barrier to on-demand, customizable fabrication. Instead, companies and individual designers alike have resorted to adding existing color-changing objects like feathers and gems to things like personal items, clothes, and artwork.

Now MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers have replicated nature’s brilliance with a new optical system called “MorphoChrome.” MorphoChrome allows users to design and program iridescence onto everyday objects (like a glove, for example), augmenting them with the structurally colored multi-color glimmer reminiscent of many gemstones. You select particular colors from a color wheel in the team’s software program and use their handheld device to “paint” with multi-color light onto holographic film. Then, you apply that painted sheet to 3D-printed objects or flexible substrates such as fashion items, sporting goods, and other personal accessories, using their unique epoxy resin transfer process.

“We wanted to tap into the innate intelligence of nature,” says MIT Department of Electrical Engineering and Computer Science (EECS) PhD student and CSAIL researcher Paris Myers SM ’25, who is a lead author on a recent paper presenting MorphoChrome. “In the past, you couldn’t easily synthesize structural color yourself, but using pigments or dyes gave you full creative expression. With our system, you have full creative agency over this new material space, predictably programming iridescent designs in real-time.”

MorphoChrome showed it could add a luminous touch to things like a necklace charm of a butterfly. What started as a static, black accessory became a shiny pendant with green, orange, and blue glimmers, thanks to the system’s programmable color process. MorphoChrome also turned golfing gloves into beginner-friendly training equipment that shine green when you hold a golf club at the correct angle, and even helped one user adorn their fingernails with a gemstone-like look.

These multi-color displays are the result of a handheld fabrication process where MorphoChrome acts as a “brush" to paint with red-green-blue (RGB) laser light, while a holographic photopolymer film (used for things like passports and debit cards) is the canvas. Users first connect the system’s handheld device to a computer via a USB-C port, then open the software program. They can then click “send color” to rapidly transmit different hues from their laptop or home computer to the MorphoChrome hardware tool.

This handheld device transforms the colors on a screen into a controllable, multi-color RGB laser light output that instantly exposes the film, a sort of canvas where users can explore different combinations of hues. About the size of a glue bottle, MorphoChrome’s optical machine houses red, green, and blue lasers, which are activated at various intensities depending on the color chosen. These lights are reflected off mirrors toward an optical prism, where the colors mix and are promptly released as a single combined beam of light. 

After designing the film, one can fabricate diverse structurally colored objects by first coating a chosen object with a thin layer of epoxy resin. Next, the holographic film (litiholographics) — composed of a photopolymer layer and a protective plastic backing — is bonded to the object through a 20-second ultraviolet cure, essentially using a handheld UV light to transfer the colored design onto the surface. Finally, users peel off the film’s protective plastic sheet, revealing a color-changing, structurally-colored object that looks like a jewel. 

Do try this at home

MorphoChrome is surprisingly user-friendly, consisting of a straightforward fabrication blueprint and an easy-to-use device that encourages do-it-yourself designers and other makers to explore iridescent designs at home. Instead of spending time searching for hard-to-find artistic materials or chemically synthesizing structural color in the lab, users can focus on expressing various ideas and experimenting with programming different radiant color mixes.

The array of possible colors stems from intriguing fusions. Nagenta, for instance, is created after the system’s blue and red lasers mix. Selecting cyan on the MorphoChrome software’s color wheel will mix the green and blue lights.

Users should note that the time it takes to fully expose the film to each color will vary, based on the researchers’ multi-color findings and the intrinsic properties of holographic photopolymer film. MorphoChrome activates green in 2.5 seconds, whereas red takes about 3 seconds, and blue needs roughly 6 seconds to saturate. The reason for this discrepancy is that each color is a particular wavelength of light, requiring a certain level of light exposure (blue needing more than green or red).

Look at this hologram

MorphoChrome builds upon previous work on stretchable structural color by co-author Benjamin Miller PhD ’24, Professor Mathias Kolle, and Kolle’s Laboratory for Biologically Inspired Photonic Engineering group at MIT's Department of Mechanical Engineering. The CSAIL researchers, who work in the Human-Computer Interaction Engineering Group, say that MorphoChrome also advances their ongoing work on merging computation with unique materials to create dynamic, programmable color interfaces. 

Going forward, their goal is to push the capabilities of holographic structural color as a reprogrammable design and manufacturing space, empowering individuals and industries alike to customize iridescent and diffuse multi-color interfaces. “The polymer sheet we went with here is holographic, which has potential beyond what we’re showing here,” says co-author Yunyi Zhu ’20, MEng ’21, who is an MIT EECS PhD student and CSAIL researcher. “We’re working on adapting our process for creating entire 3D light fields in one film.”

Customizing full light-field holographic messages onto objects would allow users to encode information and 3D images. One could imagine, for example, that a passport could have a sticker that beams out a 3D green check mark. This hologram would signal its authenticity when viewed through a particular device or at a certain angle.

The team is also inspired by how animals use structural color as an adaptive communication channel and camouflage technique. Going forward, they are curious how programmable structural color could be integrated into different types of environments, perhaps as camouflage for soft robotic structures to blend into an environment. For instance, they imagine a robot studying jungle terrain may need to match the appearance of nearby bushes to collect data, with a human reprogramming the machine’s color from afar.

In the meantime, MorphoChrome recreates the majestic structural color found in various ecosystems, connecting a natural phenomenon with our creative processes. MIT researchers will look to improve the system’s color gamut and maximize how luminous mixed colors are. They’re also considering using another material for the device’s casing, since its current 3D-printing housing leaks out some light.

“Being able to easily create and manipulate structural color is a great new tool, and opens up new avenues for discovery and expression,” says Liti Holographics CEO Paul Christie SM ’97, who wasn’t involved in the research. “Simplifying the process to be more easily accessible allows for new applications to be developed in a wider range of areas, from art and jewelry to functional fabric.”

Myers, Zhu, and Miller wrote the paper with senior author Stefanie Mueller, who is an MIT associate professor of electrical engineering and computer science and CSAIL principal investigator. Their research was supported by the National Science Foundation, and presented as a demo paper and poster at the 2025 ACM Symposium on Computational Fabrication in November.

Over the years, passing spacecraft have observed mystifying weather patterns at the poles of Jupiter and Saturn. The two planets host very different types of polar vortices, which are huge atmospheric whirlpools that rotate over a planet’s polar region. On Saturn, a single massive polar vortex appears to cap the north pole in a curiously hexagonal shape, while on Jupiter, a central polar vortex is surrounded by eight smaller vortices, like a pan of swirling cinnamon rolls.

Given that both planets are similar in many ways — they are roughly the same size and made from the same gaseous elements — the stark difference in their polar weather patterns has been a longstanding mystery.

Now, MIT scientists have identified a possible explanation for how the two different systems may have evolved. Their findings could help scientists understand not only the planets’ surface weather patterns, but also what might lie beneath the clouds, deep within their interiors.

In a study appearing this week in the Proceedings of the National Academy of Sciences, the team simulates various ways in which well-organized vortex patterns may form out of random stimulations on a gas giant. A gas giant is a large planet that is made mostly of gaseous elements, such as Jupiter and Saturn. Among a wide range of plausible planetary configurations, the team found that, in some cases, the currents coalesced into a single large vortex, similar to Saturn’s pattern, whereas other simulations produced multiple large circulations, akin to Jupiter’s vortices.

After comparing simulations, the team found that vortex patterns, and whether a planet develops one or multiple polar vortices, comes down to one main property: the “softness” of a vortex’s base, which is related to the interior composition. The scientists liken an individual vortex to a whirling cylinder spinning through a planet’s many atmospheric layers. When the base of this swirling cylinder is made of softer, lighter materials, any vortex that evolves can only grow so large. The final pattern can then allow for multiple smaller vortices, similar to those on Jupiter. In contrast, if a vortex’s base is made of harder, denser stuff, it can grow much larger and subsequently engulf other vortices to form one single, massive vortex, akin to the monster cyclone on Saturn.

“Our study shows that, depending on the interior properties and the softness of the bottom of the vortex, this will influence the kind of fluid pattern you observe at the surface,” says study author Wanying Kang, assistant professor in MIT’s Department of Earth, Atmospheric and Planetary Sciences (EAPS). “I don’t think anyone’s made this connection between the surface fluid pattern and the interior properties of these planets. One possible scenario could be that Saturn has a harder bottom than Jupiter.”

The study’s first author is MIT graduate student Jiaru Shi.

Spinning up

Kang and Shi’s new work was inspired by images of Jupiter and Saturn that have been taken by the Juno and Cassini missions. NASA’s Juno spacecraft has been orbiting around Jupiter since 2016, and has captured stunning images of the planet’s north pole and its multiple swirling vortices. From these images, scientists have estimated that each of Jupiter’s vortices is immense, spanning about 3,000 miles across — almost half as wide as the Earth itself.

The Cassini spacecraft, prior to intentionally burning up in Saturn’s atmosphere in 2017, orbited the ringed planet for 13 years. Its observations of Saturn’s north pole recorded a single, hexagonal-shaped polar vortex, about 18,000 miles wide.

“People have spent a lot of time deciphering the differences between Jupiter and Saturn,” Shi says. “The planets are about the same size and are both made mostly of hydrogen and helium. It’s unclear why their polar vortices are so different.”

Shi and Kang set out to identify a physical mechanism that would explain why one planet might evolve a single vortex, while the other hosts multiple vortices. To do so, they worked with a two-dimensional model of surface fluid dynamics. While a polar vortex is three-dimensional in nature, the team reasoned that they could accurately represent vortex evolution in two dimensions, as the fast rotation of Jupiter and Saturn enforces uniform motion along the rotating axis.

“In a fast-rotating system, fluid motion tends to be uniform along the rotating axis,” Kang explains. “So, we were motivated by this idea that we can reduce a 3D dynamical problem to a 2D problem because the fluid pattern does not change in 3D. This makes the problem hundreds of times faster and cheaper to simulate and study.”

Getting to the bottom

Following this reasoning, the team developed a two-dimensional model of vortex evolution on a gas giant, based on an existing equation that describes how swirling fluid evolves over time.

“This equation has been used in many contexts, including to model midlatitude cyclones on Earth,” Kang says. “We adapted the equation to the polar regions of Jupiter and Saturn.”

The team applied their two-dimensional model to simulate how fluid would evolve over time on a gas giant under different scenarios. In each scenario, the team varied the planet’s size, its rate of rotation, its internal heating, and the softness or hardness of the rotating fluid, among other parameters. They then set a random “noise” condition, in which fluid initially flowed in random patterns across the planet’s surface. Finally, they observed how the fluid evolved over time given the scenario’s specific conditions.

Over multiple different simulations, they observed that some scenarios evolved to form a single large polar vortex, like Saturn, whereas others formed multiple smaller vortices, like Jupiter. After analyzing the combinations of parameters and variables in each scenario and how they related to the final outcome, they landed on a single mechanism to explain whether a single or multiple vortices evolve: As random fluid motions start to coalesce into individual vortices, the size to which a vortex can grow is limited by how soft the bottom of the vortex is. The softer, or lighter the gas is that is rotating at the bottom of a vortex, the smaller the vortex is in the end, allowing for multiple smaller-scale vortices to coexist at a planet’s pole, similar to those on Jupiter.

Conversely, the harder or denser a vortex bottom is, the larger the system can grow, to a size where eventually it can follow the planet’s curvature as a single, planetary-scale vortex, like the one on Saturn.

If this mechanism is indeed what is at play on both gas giants, it would suggest that Jupiter could be made of softer, lighter material, while Saturn may harbor heavier stuff in its interior.

“What we see from the surface, the fluid pattern on Jupiter and Saturn, may tell us something about the interior, like how soft the bottom is,” Shi says. “And that is important because maybe beneath Saturn’s surface, the interior is more metal-enriched and has more condensable material which allows it to provide stronger stratification than Jupiter. ”

"Because Jupiter and Saturn are otherwise so similar, their different polar weather has been a puzzle,” says Yohai Kaspi, a professor of geophysical fluid dynamics at the Weizmann Institute of Science, and a member of the Juno mission’s science team, who was not involved in the new study. “The work by Shi and Kang reveals a surprising link between these differences and the planets’ deep interior ‘softness’, offering a new way to map the key internal properties that shape their atmospheres."

This research was supported, in part, by a Mathworks Fellowship and endowed funding from MIT’s Department of Earth, Atmospheric and Planetary Sciences.

“I went into the military right after high school, mostly because I didn’t really see the value of academics,” says Air Force veteran and MIT sophomore Justin Cole.

His perspective on education shifted, however, after he experienced several natural disasters during his nine years of service. As a satellite systems operator in Colorado, Cole volunteered in the aftermath of the 2013 Black Forest fire, the state’s most destructive fire at the time. And in 2018, while he was leading a team in Okinawa conducting signal-monitoring work on communications satellites, two Category 5 typhoons barreled through the area within 26 days.

“I realized, this climate stuff is really a prerequisite to national security objectives in almost every sense, so I knew that school was going to be the thing that would help prepare me to make a difference,” he says. In 2023, after leaving the Air Force to work for climate-focused nonprofits and take engineering courses, Cole participated in an intense, weeklong STEM boot camp at MIT. “It definitely reaffirmed that I wanted to continue down the path of at least getting a bachelor’s, and it also inspired me to apply to MIT,” he says. He transferred in 2024 and is majoring in climate system science and engineering.

“It’s a lot like the MIT experience”

MIT runs the boot camp every summer as part of the nonprofit Warrior-Scholar Project (WSP), which started at Yale University in 2012. WSP offers a range of programming designed to help enlisted veterans and service members transition from the military to higher education. The academic boot camp program, which aims to simulate a week of undergraduate life, is offered at 19 schools nationwide in three areas: business, college readiness, and STEM.

MIT joined WSP in 2017 as one of the first three campuses to offer the STEM boot camp. “It was definitely rigorous,” Cole recalls, “not getting tons of sleep, grinding psets at night with friends … it’s a lot like the MIT experience.” In addition to problem sets, every day at MIT-WSP is packed with faculty lectures on math and physics, recitations, working on research projects, and tours of MIT campus labs. Scholars also attend daily college success workshops on topics such as note taking, time management, and applying to college. The schedule is meticulously mapped out — including travel times — from 0845 to 2200, Sunday through Friday.

Michael McDonald, an associate professor of physics at the Kavli Institute for Astrophysics and Space Research, and Navy veteran Nelson Olivier MBA ’17 have run the MIT-WSP program since its inception. At the time, WSP wanted to expand its STEM boot camps to other universities, so a Yale astrophysicist colleague recruited McDonald. Meanwhile, Olivier’s former Navy SEAL Team THREE teammate — who happened to be the WSP CEO — convinced Olivier to help launch the program while he was at the MIT Sloan School of Management, along with classmate Bill Kindred MBA ’17.

Now in its 10th year, MIT-WSP has hosted over 120 scholars, 93 percent of whom have gone on to attend schools like Stanford University, Georgetown University, University of Notre Dame, Harvard University, and the University of California at Berkeley. MIT-WSP alumni who have graduated now work at employers such as Meta, Price Waterhouse Coopers, Boeing, and BAE Systems.

Translating helicopter repairs to Newton’s laws

McDonald has a lot of fun teaching WSP scholars every summer. “When I pose a question to my first-year physics class in September, no one wants to meet my eyes or raise their hand for fear of embarrassing themselves,” he says. “But I ask a question to this group of, say, 12 vets, and 12 hands shoot up, they are all answering over each other, and then asking questions to follow up on the question. They are just curious and hungry, and they couldn’t care less about how they come off. … As a professor, it’s like your dream class.”

Every year, McDonald witnesses a predictable transformation among the scholars. They start off eager enough, however “by Tuesday, they are miserable, they’re pretty beaten down. But by the end of the week, they’re like, ‘I could do another week,’” he says.

Their confidence grows as they recognize that, while they may not have taken college courses, their military experience is invaluable. “It’s just a matter of convincing these guys that what they are already doing is what we are looking for. We have guys that say, ‘I don’t know if I can succeed in an engineering program,’ but then in the field, they are repairing helicopters. And I’m like, ‘Oh no, you can do this stuff!’ They just need to understand the background of why that helicopter that they are building works.”

Olivier agrees. “The enlisted veteran has a leg up because they’ve already done this before. They are just translating it from either fixing a radio or messing around with the components of a bomb to understanding Newton’s laws. That’s a thing of beauty, when you see that.”

Fostering a virtuous cycle

While just seeing themselves succeed at MIT-WSP helps instill confidence among scholars, meeting veterans who have made the leap into academia has a multiplier effect. To that end, the WSP organization provides each academic boot camp with alumni, called fellows, to teach college success workshops, provide support, and share their experiences in higher education.

“When I was at boot camp, we had two WSP fellows who were at Columbia, one at Princeton, and one who just got accepted to Harvard,” Cole recalls. “Just seeing people existing at these institutions made me realize, this is a thing that is doable.” The following summer, he became a fellow as well.

Former Marine Corps communications operator Aaron Kahler, who attended MIT-WSP in 2024, particularly recalls meeting a veteran PhD student while the group toured the neuroscience facility. “It was really cool seeing instances of successful vets doing their thing at MIT,” he says. “There were a lot more than we thought.”

Over the years, McDonald has made an effort to recruit more MIT veterans to staff the program. One of them is Andrea Henshall, a retired major in the Air Force and a PhD student in the Department of Aeronautics and Astronautics. After joining the Ask Me Anything panel a few years ago, she’s become increasingly involved, presenting lectures, mentoring participants, offering tours of the motion capture lab where she conducts experiments, and informally mentoring scholars.

“It’s so inspiring to hear so many students at the end of the week say, ‘I never considered a place like MIT until the boot camp, or until somebody told me, hey, you can be here, too.’ Or they see examples of enlisted veterans, like Justin, who’ve transitioned to a place like MIT and shown that it’s possible,” says Henshall.

At the conclusion of MIT-WSP, scholars receive a tangible reminder of what’s possible: a challenge coin designed by Olivier and McDonald. “In the military, the challenge coin usually has the emblem of the unit and symbolizes the ethos of the unit,” Olivier explains. On one side of the MIT-WSP coin are Newton’s laws of motion, superimposed over the WSP logo. MIT's “mens et manus” (“mind and hand”) motto appears on the other side, beneath an image of the Great Dome inscribed with the scholar’s name.

“As you go into Killian Court you see all the names of Pasteur, Newton, et cetera, but Building 10 doesn’t have a name on it,” he says. “So we say, ‘earn your space there on these buildings. Do something significant that will impact the human experience.’ And that’s what we think each one of these guys and gals can do.”

Kahler keeps the coin displayed on his desk at MIT, where he’s now a first-year student, for inspiration. “I don’t think I would be here if it weren’t for the Warrior-Scholar Project,” he says.

The 1994 genocide in Rwanda took place over a little more than three months, during which militias representing the Hutu ethnic group conducted a mass murder of members of the Tutsi ethnic group along with some politically moderate members of the Hutu and Twa groups. Soon after, local citizens and aid workers began to document the atrocities that had occurred in the country.

They were establishing evidence of a genocide that many outsiders were slow to acknowledge; other countries and the U.N. did not recognize it until 1998. By preserving scenes of massacre and victims’ remains, this effort allowed foreigners, journalists, and neighbors to witness what had happened. Though the citizens’ work was emotionally and physically challenging, they used these sites of memory to seek justice for victims who had been killed and harmed.

In so doing, these efforts turned memory into officially recognized history. Now, in a new book, MIT scholar Delia Wendel carefully explores this work, shedding new light on the people who created the state’s genocide memorials, and the decisions they made in the process — such as making the remains of the dead available for public viewing. She also examines how the state gained control of the effort and has chosen to represent the past through these memorials.

“I’m seeking to recuperate this forgotten history of the ethics of the work, while also contending with the motivations of state sovereignty that has sustained it,” says Wendel, who is the Class of 1922 Career Development Associate Professor of Urban Studies and International Development in MIT’s Department of Urban Studies and Planning (DUSP).

That book, “Rwanda’s Genocide Heritage: Between Justice and Sovereignty,” is published by Duke University Press and is freely available through the MIT Libraries. In it, Wendel uncovers new details about the first efforts to preserve the memory of the genocide, analyzes the social and political dynamics, and examines their impact on people and public spaces.

“The shift from memory to history is important because it also requires recognition that is official or more public in nature,” Wendel says. “Survivors, their kin, their relatives, they know their histories. What they’re wishing to happen is a form of repair, or justice, or empowerment, that comes with disclosing those histories. That truth-telling aspect is really important.”

Conversations and memory

Wendel’s book was well over a decade in the making — and emerged from a related set of scholarly inquiries about peace-building activities in the wake of genocide. For this project, about memorializing genocide, Wendel visited over 30 villages in Rwanda over a span of many years, gradually making connections and building dialogues with citizens, in addition to conducting more conventional social science research.

“Speaking with rual residents started to unlock a lot of different types of conversations,” Wendel says of those visits. “A good deal of those conversations had to do with memory, and with relationships to place, neighbors, and authority.” She adds: “These are topics that people are very hesitant to speak about, and rightly so. This has been a book that took a long time to research and build some semblance of trust.”

During her research, Wendel also talked at length with some key figures involved in the process, including Louis Kanamugire, a Rwandan who became the first head of the country’s post-war Genocide Memorial Commission. Kanamugire, who lost his parents in the genocide, felt it was necessary to preserve and display the remains of genocide victims, including at four key sites that later become official state memorials.

This process involved, as Wendel puts it, the “gruesome” work of cleaning and preserving bodies and bones and preserving material remains to provide both material evidence of genocide and the grounds for beginning the work of societal repair and individual healing.

Wendel also uncovers, in detail for the first time, the work done by Mario Ibarra, a Chilean aid worker for the U.N. who also investigated atrocities, photographed evidence extensively, conducted preservation work, and contributed to the country’s Genocide Memorial Commission as well. The relationships between global human rights practice and genocide survivors seeking justice, in terms of preserving and documenting evidence, is at the core of the book and, Wendel believes, a previously underappreciated aspect of this topic.

“The story of Rwanda memorialization that has typically been told is one of state control,” Wendel says. “But in the beginning, the government followed independent initiatives by this human rights worker and local residents who really spurred this on.”

In the book, Wendel also examines how Rwanda’s memorialization practices relates to those of other countries, often in the so-called Global South. This phenomenon is something she terms “trauma heritage,” and has followed similar trajectories across countries in Africa and South America, for instance.

“Trauma heritage is the act of making visible the violence that had been actively hidden, and intervening in the dynamics of power,” she says. “Making such public spaces for silenced pain is a way of seeking recognition of those harms, and [seeking] forms of justice and repair.”

The tensions of memorialization

To be clear, Rwanda has been able to construct genocide memorials in the first place because, in the mid-1990s, Tutsi troops regained power in the country by defeating their Hutu adversaries. Subsequently, in a state without unlimited free expression, the government has considerable control over the content and forms of memorialization that take place.

Meanwhile, there have always been differing views about, say, displaying victims’ remains, and to what degree such a practice underlines their humanity or emphasizes the dehumanizing treatment they suffered. Then too, atrocities can produce a wide range of psychological responses among the living, including survivors’ guilt and the sheer difficulty many experience in expressing what they have witnessed. The process of memorialization, in such circumstances, will likely be fraught.

“The book is about the tensions and paradoxes between the ethics of this work and its politics, which have a lot to do with state sovereignty and control,” Wendel says. “It’s rooted in the tension between what’s invisible and what’s visible, between this bid to be seen and to recognize the humanity of the victims and yet represent this dehumanizing violence. These are irresolvable dilemmas that were felt by the people doing this work.”

Or, as Wendel writes in the book, Rwandans and others immersed in similar struggles for justice around the world have had to grapple with the “messy politics of repair, searching for seemingly impossible redress for injustice.”

Other experts have praised Wendel’s book, such as Pumla Gobodo-Madikizela, a professor at Stellenbosch University in South Africa, who studies the psychological effects of mass violence. Gobodo-Madikizela has cited Wendel’s “extraordinary narratives” about the book’s principal figures, observing that they “not only preserve the remains but also reclaim the victims’ humanity. … Wendel shows how their labor becomes a defiant insistence on visibility that transforms the act of cleaning into a form of truth-telling, making injustice materially and spatially undeniable.”

For her part, Wendel hopes the book will engage readers interested in multiple related issues, including Rwandan and African history, the practices and politics of public memory, human rights and peace-building, and the design of public memorials and related spaces, including those built in the aftermath of traumatic historical episodes.

“Rwanda’s genocide heritage remains an important endeavor in memory justice, even if its politics need to be contended with at the same time,” Wendel says. 

Running large companies in construction, logistics, energy, and manufacturing requires careful coordination between millions of people, devices, and systems. For more than a decade, Samsara has helped those companies connect their assets to get work done more intelligently.

Founded by John Bicket SM ’05 and Sanjit Biswas SM ’05, Samsara’s platform gives companies with physical operations a central hub to track and learn from workers, equipment, and other infrastructure. Layered on top of that platform are real-time analytics and notifications designed to prevent accidents, reduce risks, save fuel, and more.

Tens of thousands of customers have used Samsara’s platform to improve their operations since its founding in 2015. Home Depot, for instance, used Samsara’s artificial intelligence-equipped dashcams to reduce their total auto liability claims by 65 percent in one year. Maxim Crane Works saved more than $13 million in maintenance costs using Samsara’s equipment and vehicle diagnostic data in 2024. Mohawk Industries, the world’s largest flooring manufacturer, improved their route efficiency and saved $7.75 million annually.

“It’s all about real-world impact,” says Biswas, Samsara’s CEO. “These organizations have complex operations and are functioning at a massive scale. Workers are driving millions of miles and consuming tons of fuel. If you can understand what’s happening and run analysis in the cloud, you can find big efficiency improvements. In terms of safety, these workers are putting their lives at risk every day to keep this infrastructure running. You can literally save lives if you can reduce risk.”

Finding big problems

Biswas and Bicket started PhD programs at MIT in 2002, both conducting research around networking in the Computer Science and Artificial Intelligence Laboratory (CSAIL). They eventually applied their studies to build a wireless network called MIT RoofNet.

Upon graduating with master’s degrees, Biswas and Bicket decided to commercialize the technologies they worked on, founding the company Meraki in 2006.

“How do you get big Wi-Fi networks out in the world?” Biswas asks. “With MIT RoofNet, we covered Cambridge in Wi-Fi. We wanted to enable other people to build big Wi-Fi networks and make Wi-Fi go mainstream for larger campuses and offices.”

Over the next six years, Meraki’s technology was used to create millions of Wi-Fi networks around the world. In 2012, Meraki was acquired by Cisco. Biswas and Bicket left Cisco in 2015, unsure of what they’d work on next.

“The way we found ourselves to Samsara was through the same curiosity we had as graduate students,” Biswas says. “This time it dealt more with the planet’s infrastructure. We were thinking about how utilities work, and how construction happens at the scale of cities and states. It drew us into operations, which is the infrastructure backbone of the planet.”

As the founders learned about industries like logistics, utilities, and construction, they realized they could use their technical background to improve safety and efficiency.

“All these industries have a lot in common,” Biswas says. “They have a lot of field workers — often thousands of them — they have a lot of assets like trucks and equipment, and they’re trying to orchestrate it all. The throughline was the importance of data.”

When they founded Samsara 10 years ago, many people were still collecting field data with pen and paper.

“Because of our technical background, we knew that if you could collect the data and run sophisticated algorithms like AI over it, you could get a ton of insights and improve the way those operations run,” Biswas says.

Biswas says extracting insights from data is easy. Making field-ready products and getting them into the hands of frontline workers took longer.

Samsara started by tapping into existing sensors in buildings, cars, and other assets. They also built their own, including AI-equipped cameras and GPS trackers that can monitor driving behavior. That formed the foundation of Samsara’s Connected Operations Platform. On top of that, Samsara Intelligence processes data in the cloud and provides insights like ways to calculate the best routes for commercial vehicles, be more proactive with maintenance, and reduce fuel consumption.

Samsara’s platform can be used to detect if a commercial vehicle or snowplow driver is on their phone and send an audio message nudging them to stay safe and focused. The platform can also deliver training and coaching.

“That’s the kind of thing that reduces risk, because workers are way less likely to be distracted,” Biswas says. “If you do for millions of workers, you reduce risk at scale.”

The platform also allows managers to query their data in a ChatGPT-style interface, asking questions such as: Who are my safest drivers? Which vehicles need maintenance? And what are my least fuel-efficient trucks?

“Our platform helps recognize frontline workers who are safe and efficient in their job,” Biswas says. “These people are largely unsung heroes. They keep our planet running, but they don’t hear ‘thank you’ very often. Samsara helps companies recognize the safest workers on the field and give them recognition and rewards. So, it’s about modernizing equipment but also improving the experience of millions of people that help run this vital infrastructure.”

Continuing to grow

Today Samsara processes 20 trillion data points a year and monitors 90 million miles of driving. The company employs about 4,000 people across North America and Europe.

“It still feels early for us,” Biswas says. “We’ve been around for 10 years and gotten some scale, but we needed to build this platform to be able to build more products and have more impact. If you step back, operations is 40 percent of the world’s GDP, so we see a lot of opportunities to do more with this data. For instance, weather is part of Samsara Intelligence, and weather is 20 to 25 percent of the risk, and so we’re training AI models to reduce risk from the weather. And on the sustainability side, the more data we have, the more we can help optimize for things like fuel consumption or transitioning to electric vehicles. Maintenance is another fascinating data problem.”

The founders have also maintained a connection with MIT — and not just because the City of Boston’s Department of Public Works and the MBTA are customers. Last year, the Biswas Family Foundation announced funding for a four-year postdoctoral fellowship program at MIT for early-stage researchers working to improve health care.

Biswas says Samsara’s journey has been incredibly rewarding and notes the company is well-positioned to leverage advances in AI to further its impact going forward.

“It’s been a lot of fun and also a lot of hard work,” Biswas says. “What’s exciting is that each decade of the company feels different. It’s almost like a new chapter — or a whole new book. Right now, there’s so many incredible things happening with data and AI. It feels as exciting as it did in the early days of the company. It feels very much like a startup.”

As a college student, Kevin Power never considered working in supply chain management; in fact, he didn’t know it was an option. He earned an undergraduate degree in manufacturing engineering while working full time at an oil refinery, which demanded a rigorous routine of shift work, long days, and evening classes.

After graduation, he found himself searching for new learning opportunities, and stumbled upon the online courses of the MITx MicroMasters Program in Supply Chain Management, an online program of the MIT Center for Transportation and Logistics. Starting with Supply Chain Analytics (SC0x), Power was drawn in immediately by how directly applicable the lessons were to real work. 

“So many courses that you do are more theoretical,” he reflects. “Everything I learned, I could apply it directly to my work and see the value in doing it. So as soon as I finished Supply Chain Analytics, I decided, OK, I’ll finish the whole program.” What he didn’t yet know was that he belonged to the very audience the MicroMasters was designed for — lifelong learners. Learners are often working professionals who want deep, flexible training while continuing their careers.

After completing the five-course MicroMasters track and earning his credential, Power uncovered another opportunity: the MIT SCM Blended Master’s Program, which pairs the online credential with a one-semester, on-campus program, resulting in a master of applied science degree in supply chain management.

For Power, the blend of online and in-person learning proved pivotal. He describes his MicroMasters experience as fertile ground for deep, self-paced study. “I’m a very introverted kind of learner, so I prefer to just learn out of a textbook and online,” he says. But, once in the MIT SCM program, he tapped into the soft skills he needs to stand out in the industry. “When I came to campus, it was more about networking and being able to communicate with executives, on top of our academic work,” he says. The immersive environment of combining scholarly rigor with real-world experience among peers across the supply chain industry is at the heart of what the blended program aims to facilitate.

During his time on campus, Power’s research included simulation modeling in port shipping and generative-AI–driven projects focused on supply chain resilience. “I had never done simulation modeling before, and right now it’s huge in the industry,” he says. “If I were trying to apply for a simulation modeling job, I’m sure it would help me greatly having done this.” 

His project, completed with fellow MIT SCM student Yassine Lahlou-Kamal, was one of the winners at the 2025 Annual MIT Global SCALE Network Supply Chain Student Research Expo, in which students showcased their industry-sponsored thesis and capstone projects. This experience pays off in his current work with Elenna Dugundji in her Deep Knowledge Lab for Supply Chain and Logistics.

Beyond academics and research, Power threw himself into the fast-paced world of hackathons, despite having never participated in one before. “I’m very competitive,” Power confesses, “and I feel like I learn something new every time.” His first effort, an internal MIT competition called Hack-Nation’s Global AI Hackathon, earned him a win with an AI sports-betting agent project that fuses model-driven analysis with web scraping. Soon after, he tackled the OpenAI Red Teaming Challenge on Kaggle. Despite joining the competition halfway through the 15-day window, he raced through the final week and was selected as one of the winners. “It gave me a lot of confidence … that the things I’m working on right now are cutting-edge, even in the eyes of OpenAI.”

In terms of his return on investment in the degree, Power says, “I’m getting so much value out of being here. Even from just doing the Kaggle competition, I won more than the cost of my full MIT degree.” Long-term, Power has been impressed that “as far as I know, everybody that was looking for a job in the supply chain program has one.” The data back him up, as every student from the MIT SCM residential program Class of 2025 secured a job within six months of graduation.

Now a current master’s student in the MIT Technology and Policy Program, looking ahead, Power says, “I want to do a startup. A lot of the ideas came from research I’ve done here.” 

Reflecting on the transformation he’s experienced in just 10 months of the program, he calls it “crazy.” “The SCM program really is amazing … I’d recommend it to anyone.”

Born and raised in Japan as part of a military family, Christine Pilcavage knows first-hand about the value of an immersive approach to exploration. 

“Any experience in a different context improves an individual,” says Pilcavage, who has also lived in Cambodia, the Philippines, and Kenya. 

It’s that ethos that Pilcavage brings to her role as managing director of MISTI Japan, which connects MIT students and faculty to Institute collaborators in Japan. In her role, Pilcavage sends students to Japan for internship and research opportunities. She also shares Japanese culture on campus with activities like Ikebana classes during Independent Activities Period and a Japanese Film Festival.

MIT’s connection to Japan dates back before 1874, when its first Japanese student graduated. Later, 1911 saw the foundation of the MIT Association of Japan, Japan’s first MIT trans-Pacific alumni club. That organization later evolved into the MIT Club of Japan. 

MISTI Japan predates the MIT International Science and Technology Initiatives (MISTI)’s creation. The MIT-Japan Program was established in 1981 to prepare MIT students to be better scientists and engineers who understand and work effectively with Japan. The program sought to foster a deeper U.S.-Japan collaboration in science and technology amidst Japan's growing economic and technological power. MIT-Japan began sending students to Japan in 1983. 

Students in the MIT-Japan Program complete a three-to-12-month internship at their host institution, and the immersive experiences are invaluable. “Japan is so different from the Western world,” Pilcavage notes. “For example, in Japanese, verbs end sentences, so it’s important to develop patience and listen carefully when communicating.”

Pilcavage believes there is tremendous value in creating and supporting a program like MISTI at MIT. Traveling to areas outside the Institute and the United States can expose students to diverse cultures, aid the exploration of challenges, help them discover solutions, improve language learning, and foster communication. 

“We want our students to think and create,” she says. “They need to see beyond the MIT bubble and think carefully about how to solve difficult problems and help others.”

Japan, Pilcavage continues, is monocultural in ways the United States isn’t. While English is spoken in larger cities, it’s harder to find it spoken in rural areas. “MIT students teach STEM topics to rural Japanese kids in Japanese,” Pilcavage says, citing a program that’s been teaching STEAM workshops in the tsunami-affected area in Northern Japan since 2017. “Learning to code switch means they improve their language skills while also learning important cultural nuances, like body language.”

Pilcavage emphasizes the importance of “learning differently” for MIT students and the Japanese people with whom they interact. “I wanted our students to engage with the local population,” she says, encouraging them to develop what she calls “cultural resilience.”

Journey to MIT

Pilcavage — whose educational background includes master’s degrees in international affairs and public health, and undergraduate study in economics and psychology — has also worked with the United States Agency for International Development (USAID), the Japanese government, the Japan International Cooperation Agency (JICA), and the World Health Organization on global health and educational issues in Africa and Asia. 

Pilcavage first came to Cambridge, Massachusetts, looking for hands-on experience in public health and community outcomes in a role with Management Sciences for Health, co-founded by MIT Sloan School of Management alumnus Ron O’Connor SM ’71. There, she investigated reproductive and women’s health and supported a Japanese nonprofit affiliated with the organization.

She has since developed strong ties to Cambridge and MIT. “I was married in the MIT Chapel to an MIT alum, and our reception was held in Walker Memorial,” she says. “I was a migratory bird who landed on a tree, and my husband is the tree that has deep local roots here.” 

In keeping with her ethos of overcoming roadblocks to success, Pilcavage encourages students to challenge themselves. “I’ve tried to model that behavior throughout my career,” she says.

Following her arrival at MIT In 2013, Pilcavage worked with the Comprehensive Initiative on Technology Evaluation (CITE), an MIT Department of Urban Studies and Planning project established in 2012 to develop new methods for product evaluation in global development. Formerly funded by USAID, Pilcavage administered the $10 million research program, which sought to learn which low-cost interventions worked best by evaluating products designed for people living in lower-income communities. 

“It’s important to learn how to manage real-world challenges and deal with them effectively,” she argues. “Creating a collaborative environment in which people can discover solutions is how things get done.”

A career of service

Pilcavage has been recognized for her outstanding contributions to encouraging positive relations between America and Japan. She received the Foreign Minister's Commendation from the Japanese Ministry of Foreign Affairs and the John E. Thayer III Award from the Japan Society of Boston.

“I’m honored to join a community of people who have dedicated their lives to strengthening ties between the U.S. and Japan,” Pilcavage says when asked about the awards. “It’s exciting and humbling to be recognized for doing something I love.” 

“Chris is a determined, empathetic leader who inspires our students and is committed to advancing both MIT’s mission and U.S.-Japan relations,” says Richard Samuels, the Ford International Professor of Political Science at MIT, and founder and faculty director of MISTI Japan. “I can think of no one more deserving of these awards.”

Pilcavage is excited about new MISTI Japan initiatives that are in development or already underway. “We’re launching our first global classroom with [MIT historian] Hiromu Nagahara and [lecturer in Japanese] Takako Aikawa,” she notes. “Students will visit cities like Kyoto and Hiroshima, and explore Japanese history and culture up close.”

Additionally, Pilcavage is developing social impact workshops and consistently questioning how to improve MIT Japan’s work and its impact. She’s always looking for new projects and new ways to engage and encourage students. “How can I make the program better?” she asks when considering MISTI Japan and its value to MIT and its students. 

“I tell people I have the best job in the world,” she says. “I get to share my culture with the MIT community and work with the best colleagues who are nurturing and supportive. I believe I’ve found my home here.”

Quantum computers could rapidly solve complex problems that would take the most powerful classical supercomputers decades to unravel. But they’ll need to be large and stable enough to efficiently perform operations. To meet this challenge, researchers at MIT and elsewhere are developing trapped-ion quantum computers based on ultra-compact photonic chips. These chip-based systems offer a scalable alternative to existing trapped-ion quantum computers, which rely on bulky optical equipment.

The ions in these quantum computers must be cooled to extremely cold temperatures to minimize vibrations and prevent errors. So far, such trapped-ion systems based on photonic chips have been limited to inefficient and slow cooling methods.

Now, a team of researchers at MIT and MIT Lincoln Laboratory has implemented a much faster and more energy-efficient method for cooling trapped ions using photonic chips. Their approach achieved cooling to about 10 times below the limit of standard laser cooling.

Key to this technique is a photonic chip that incorporates precisely designed antennas to manipulate beams of tightly focused, intersecting light.

The researchers’ initial demonstration takes a key step toward scalable chip-based architectures that could someday enable quantum computing systems with greater efficiency and stability.

“We were able to design polarization-diverse integrated-photonics devices, utilize them to develop a variety of novel integrated-photonics-based systems, and apply them to show very efficient ion cooling. However, this is just the beginning of what we can do using these devices. By introducing polarization diversity to integrated-photonics-based trapped-ion systems, this work opens the door to a variety of advanced operations for trapped ions that weren’t previously attainable, even beyond efficient ion cooling — all research directions we are excited to explore in the future,” says Jelena Notaros, the Robert J. Shillman Career Development Associate Professor of Electrical Engineering and Computer Science (EECS) at MIT, a member of the Research Laboratory of Electronics, and senior author of a paper on this architecture.

She is joined on the paper by lead authors Sabrina Corsetti, an EECS graduate student; Ethan Clements, a former postdoc who is now a staff scientist at MIT Lincoln Laboratory; Felix Knollmann, a graduate student in the Department of Physics; John Chiaverini, senior member of the technical staff at Lincoln Laboratory and a principal investigator in MIT’s Center for Quantum Engineering; as well as others at Lincoln Laboratory and MIT. The research appears today in two joint publications in Light: Science and Applications and Physical Review Letters.

Seeking scalability

While there are many types of quantum systems, this research is focused on trapped-ion quantum computing. In this application, a charged particle called an ion is formed by peeling an electron from an atom, and then trapped using radio-frequency signals and manipulated using optical signals.

Researchers use lasers to encode information in the trapped ion by changing its state. In this way, the ion can be used as a quantum bit, or qubit. Qubits are the building blocks of a quantum computer.

To prevent collisions between ions and gas molecules in the air, the ions are held in vacuum, often created with a device known as a cryostat. Traditionally, bulky lasers sit outside the cryostat and shoot different light beams through the cryostat’s windows toward the chip. These systems require a room full of optical components to address just a few dozen ions, making it difficult to scale to the large numbers of ions needed for advanced quantum computing. Slight vibrations outside the cryostat can also disrupt the light beams, ultimately reducing the accuracy of the quantum computer.

To get around these challenges, MIT researchers have been developing integrated-photonics-based systems. In this case, the light is emitted from the same chip that traps the ion. This improves scalability by eliminating the need for external optical components.

“Now, we can envision having thousands of sites on a single chip that all interface up to many ions, all working together in a scalable way,” Knollmann says.

But integrated-photonics-based demonstrations to date have achieved limited cooling efficiencies.

Keeping their cool

To enable fast and accurate quantum operations, researchers use optical fields to reduce the kinetic energy of the trapped ion. This causes the ion to cool to nearly absolute zero, an effective temperature even colder than cryostats can achieve.

But common methods have a higher cooling floor, so the ion still has a lot of vibrational energy after the cooling process completes. This would make it hard to use the qubits for high-quality computations.

The MIT researchers utilized a more complex approach, known as polarization-gradient cooling, which involves the precise interaction of two beams of light.

Each light beam has a different polarization, which means the field in each beam is oscillating in a different direction (up and down, side to side, etc.). Where these beams intersect, they form a rotating vortex of light that can force the ion to stop vibrating even more efficiently.

Although this approach had been shown previously using bulk optics, it hadn’t been shown before using integrated photonics.

To enable this more complex interaction, the researchers designed a chip with two nanoscale antennas, which emit beams of light out of the chip to manipulate the ion above it.

These antennas are connected by waveguides that route light to the antennas. The waveguides are designed to stabilize the optical routing, which improves the stability of the vortex pattern generated by the beams.

“When we emit light from integrated antennas, it behaves differently than with bulk optics. The beams, and generated light patterns, become extremely stable. Having these stable patterns allows us to explore ion behaviors with significantly more control,” Clements says.

The researchers also designed the antennas to maximize the amount of light that reaches the ion. Each antenna has tiny curved notches that scatter light upward, spaced just right to direct light toward the ion.

“We built upon many years of development at Lincoln Laboratory to design these gratings to emit diverse polarizations of light,” Corsetti says.

They experimented with several architectures, characterizing each to better understand how it emitted light.

With their final design in place, the researchers demonstrated ion cooling that was nearly 10 times below the limit of standard laser cooling, referred to as the Doppler limit. Their chip was able to reach this limit in about 100 microseconds, several times faster than other techniques.

“The demonstration of enhanced performance using optics integrated in the ion-trap chip lays the foundation for further integration that can allow new approaches for quantum-state manipulation, and that could improve the prospects for practical quantum-information processing,” adds Chiaverini. “Key to achieving this advance was the cross-Institute collaboration between the MIT campus and Lincoln groups, a model that we can build on as we take these next steps.”

In the future, the team plans to conduct characterization experiments on different chip architectures and demonstrate polarization-gradient cooling with multiple ions. In addition, they hope to explore other applications that could benefit from the stable light beams they can generate with this architecture.

Other authors who contributed to this research are Ashton Hattori (MIT), Zhaoyi Li (MIT), Milica Notaros (MIT), Reuel Swint (Lincoln Laboratory), Tal Sneh (MIT), Patrick Callahan (Lincoln Laboratory), May Kim (Lincoln Laboratory), Aaron Leu (MIT), Gavin West (MIT), Dave Kharas (Lincoln Laboratory), Thomas Mahony (Lincoln Laboratory), Colin Bruzewicz (Lincoln Laboratory), Cheryl Sorace-Agaskar (Lincoln Laboratory), Robert McConnell (Lincoln Laboratory), and Isaac Chuang (MIT).

This work is funded, in part, by the U.S. Department of Energy, the U.S. National Science Foundation, the MIT Center for Quantum Engineering, the U.S. Department of Defense, an MIT Rolf G. Locher Endowed Fellowship, and an MIT Frederick and Barbara Cronin Fellowship.

The MIT Siegel Family Quest for Intelligence (SQI), a research unit in the MIT Schwarzman College of Computing, brings together researchers from across MIT who combine their diverse expertise to understand intelligence through tightly coupled scientific inquiry and rigorous engineering. These researchers engage in collaborative efforts spanning science, engineering, the humanities, and more. 

SQI seeks to comprehend how brains produce intelligence and how it can be replicated in artificial systems to address real-world problems that exceed the capabilities of current artificial intelligence technologies.

“In SQI, we are studying intelligence scientifically and generically, in the hope that by studying neuroscience and behavior in humans and animals, and also studying what we can build as intelligent engineering artifacts, we'll be able to understand the fundamental underlying principles of intelligence,” says Leslie Pack Kaelbling, SQI director of research and the Panasonic Professor in the MIT Department of Electrical Engineering and Computer Science.

“We in SQI believe that understanding human intelligence is one of the greatest open questions in science — right up there with the origin of the universe and our place in it, and the origin of life. The question of human intelligence has two parts: how it works, and where it comes from. If we understand those, we will see payoffs well beyond our current imaginings," says Jim DiCarlo, SQI director and the Peter de Florez Professor of Neuroscience in the MIT Department of Brain and Cognitive Sciences.

Exploring the great mysteries of the mind

The MIT Siegel Family Quest for Intelligence was recently renamed in recognition of a major gift from the Siegel Family Endowment that is enabling further growth in SQI’s research and activities.

SQI’s efforts are organized around missions — long-term, collaborative projects rooted in foundational questions about intelligence and supported by platforms — systems, and software that enable new research and create benchmarking and testing interfaces. 

“Ours is the only unit at MIT dedicated to building a scientific understanding of intelligence while working with researchers across the entire Institute,” DiCarlo says. “There has been remarkable progress in AI over the past decade, but I believe the next decade will bring even greater advances in our understanding of human intelligence — advances that will reshape what we call AI. By supporting us, David Siegel, the Siegel Family Endowment, and our other donors are demonstrating their confidence in our approach."

A legacy of interdisciplinary support

In 2011, David Siegel SM ’86, PhD ’91 founded the Siegel Family Endowment (SFE) to support organizations working at the intersections of learning, workforce, and infrastructure. SFE funds organizations addressing society’s most critical challenges while supporting innovative civic and community leaders, social entrepreneurs, researchers, and others driving this work forward. Siegel is a computer scientist, entrepreneur, and philanthropist. While in graduate school at MIT’s Artificial Intelligence Lab, he worked on robotics in the group of Tomás Lozano-Pérez — currently the School of Engineering Professor of Teaching Excellence — focusing on sensing and grasping. Later, he co-founded Two Sigma with the belief that innovative technology, AI, and data science could help uncover value in the world’s data. Today, Two Sigma drives transformation across the financial services industry in investment management, venture capital, private equity, and real estate.

Siegel explains, “The human brain may very well be the most complex physical system in the universe, yet most people haven't shown much interest in how it works. People take the mind for granted, yet wonder so much about other scientific mysteries, such as the origin of the universe. My fascination with the brain and its intersection with artificial intelligence stems from this. I don’t care whether there are commercial applications for this quest; instead, we should pursue research like that done at the MIT Siegel Family Quest for Intelligence to advance our understanding of ourselves. As we uncover more about human intelligence, I am hopeful that we will lay the groundwork not only for advancing artificial intelligence but also for extending our own thinking.”

As a long-time champion of the Center for Brains, Minds, and Machines (CBMM), a National Science Foundation-funded collaborative interdisciplinary research thrust, and one of the first donors to the MIT Quest for Intelligence, David Siegel helped lay the foundation for the research underway today. In early 2024, he founded Open Athena, a nonprofit that bridges the gap between academic research and the cutting edge of AI. Open Athena equips universities with elite AI and data engineering talent to accelerate breakthrough discoveries at scale. Siegel serves on the MIT Corporation Executive Committee, is vice-chair of the Scratch Foundation, and is a member of the Cornell Tech Council. He also sits on the boards of Re:Build Manufacturing, Khan Academy, NYC FIRST, and Carnegie Hall.

A Catalyst for Global Collaboration

MIT President Sally Kornbluth says, “Of all the donors and supporters whose generosity fueled the Quest for Intelligence, no one has been more important from the beginning than David Siegel. Without his longstanding commitment to CBMM and his support for the Quest, this community might never have formed. There’s every reason to think that David’s recent gift, which renames the Quest for Intelligence and also supports the Schwarzman College of Computing, will be even more powerful in shaping the future of this initiative and of the field itself.” She continues, “Fueled by generous donors — particularly David Siegel’s transformative gift — SQI is poised to take on an even more important role.”

SQI scientists and engineers are presenting their work broadly, publishing papers, and developing new tools and technologies that are used in research institutions worldwide, as they engage with colleagues in disciplines across the Institute and in universities and institutions around the globe. DiCarlo explains, “We're part of the Schwarzman College of Computing, at the nexus between the people interested in biology and various forms of intelligence and the people interested in AI. We're working with partners at other universities, in nonprofits, and in industry — we can't do it alone.”

“Fundamentally, we're not an AI effort. We're a human intelligence effort using the tools of engineering,” DiCarlo says. “That gives us, among other things, very useful insights for human learning and health, but also very useful tools for AI — including AI that will just work a lot better in a human world.” 

The entire SQI community of faculty, students, and staff is excited to face new challenges in the efforts to understand the fundamentals of intelligence.

New missions and next horizons

SQI research is broadening: Mission principal investigators are integrating their efforts across areas of interest, increasing their impact on the field. In the coming months, the organization plans to launch a new Social Intelligence Mission.

"We need to focus on problems that mirror natural and artificial intelligence — making sure that we are evaluating new models on tasks that mirror what humans and other natural intelligence can do,” says Nick Roy, SQI director of systems engineering and professor of aeronautics and astronautics at MIT. He predicts that SQI’s future research will rely on asking the right questions: “[While] we are good at picking tasks that test our computational models, and we're extremely good at picking tasks that kind of align with what our models can already do, we need to get better at choosing tasks and benchmarks that also elicit something about natural intelligence,” he says.

On November 24, 2025, faculty, staff, students, and supporters gathered at an event titled “The Next Horizon: Quest’s Future” to celebrate SQI’s next chapter. The event consisted of an afternoon of research updates, a panel discussion, and a poster session on new and evolving research, and was attended by David Siegel, representatives from the Siegel Family Endowment, and various members of the MIT Corporation. Recordings of the presentations from the event are available on SQI’s YouTube channel.

Generative artificial intelligence models have left such an indelible impact on digital content creation that it’s getting harder to recall what the internet was like before it. You can call on these AI tools for clever projects such as videos and photos — but their flair for the creative hasn’t quite crossed over into the physical world just yet.

So why haven’t we seen generative AI-enabled personalized objects, such as phone cases and pots, in places like homes, offices, and stores yet? According to MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers, a key issue is the mechanical integrity of the 3D model.

While AI can help generate personalized 3D models that you can fabricate, those systems don’t often consider the physical properties of the 3D model. MIT Department of Electrical Engineering and Computer Science (EECS) PhD student and CSAIL engineer Faraz Faruqi has explored this trade-off, creating generative AI-based systems that can make aesthetic changes to designs while preserving functionality, and another that modifies structures with the desired tactile properties users want to feel.

Making it real 

Together with researchers at Google, Stability AI, and Northeastern University, Faruqi has now found a way to make real-world objects with AI, creating items that are both durable and exhibit the user’s intended appearance and texture. With the AI-powered “MechStyle” system, users simply upload a 3D model or select a preset asset of things like vases and hooks, and prompt the tool using images or text to create a personalized version. A generative AI model then modifies the 3D geometry, while MechStyle simulates how those changes will impact particular parts, ensuring vulnerable areas remain structurally sound. When you’re happy with this AI-enhanced blueprint, you can 3D print it and use it in the real world.

You could select a model of, say, a wall hook, and the material you’ll be printing it with (for example, plastics like polylactic acid). Then, you can prompt the system to create a personalized version, with directions like, “generate a cactus-like hook.” The AI model will work in tandem with the simulation module and generate a 3D model resembling a cactus while also having the structural properties of a hook. This green, ridged accessory can then be used to hang up mugs, coats, and backpacks. Such creations are possible thanks, in part, to a stylization process, where the system changes a model’s geometry based on its understanding of the text prompt, and working with the feedback received from the simulation module.

According to CSAIL researchers, 3D stylization used to come with unintended consequences. Their formative study revealed that only about 26 percent of 3D models remained structurally viable after they were modified, meaning that the AI system didn’t understand the physics of the models it was modifying.

“We want to use AI to create models that you can actually fabricate and use in the real world,” says Faruqi, who is a lead author on a paper presenting the project. “So MechStyle actually simulates how GenAI-based changes will impact a structure. Our system allows you to personalize the tactile experience for your item, incorporating your personal style into it while ensuring the object can sustain everyday use.”

This computational thoroughness could eventually help users personalize their belongings, creating a unique pair of glasses with speckled blue and beige dots resembling fish scales, for example. It also produced a pillbox with a rocky texture that’s checkered with pink and aqua spots. The system’s potential extends to crafting unique home and office decor, like a lampshade resembling red magma. It can even design assistive technology fit to users’ specifications, such as finger splints to aid with dexterous injuries and utensil grips to aid with motor impairments.

In the future, MechStyle could also be useful in creating prototypes for accessories and other handheld products you might sell in a toy shop, hardware store, or craft boutique. The goal, CSAIL researchers say, is for both expert and novice designers to spend more time brainstorming and testing out different 3D designs, instead of assembling and customizing items by hand.

Staying strong

To ensure MechStyle’s creations could withstand daily use, the researchers augmented their generative AI technology with a type of physics simulation called a finite element analysis (FEA). You can imagine a 3D model of an item, such as a pair of glasses, with a sort of heat map indicating which regions are structurally viable under a realistic amount of weight, and which ones aren’t. As AI refines this model, the physics simulations highlight which parts of the model are getting weaker and prevent further changes.

Faruqi adds that running these simulations every time a change is made drastically slows down the AI process, so MechStyle is designed to know when and where to do additional structural analyses. “MechStyle’s adaptive scheduling strategy keeps track of what changes are happening in specific points in the model. When the genAI system makes tweaks that endanger certain regions of the model, our approach simulates the physics of the design again. MechStyle will make subsequent modifications to make sure the model doesn’t break after fabrication.”

Combining the FEA process with adaptive scheduling allowed MechStyle to generate objects that were as high as 100 percent structurally viable. Testing out 30 different 3D models with styles resembling things like bricks, stones, and cacti, the team found that the most efficient way to create structurally viable objects was to dynamically identify weak regions and tweak the generative AI process to mitigate its effect. In these scenarios, the researchers found that they could either stop stylization completely when a particular stress threshold was reached, or gradually make smaller refinements to prevent at-risk areas from approaching that mark.

The system also offers two different modes: a freestyle feature that allows AI to quickly visualize different styles on your 3D model, and a MechStyle one that carefully analyzes the structural impacts of your tweaks. You can explore different ideas, then try the MechStyle mode to see how those artistic flourishes will affect the durability of particular regions of the model.

CSAIL researchers add that while their model can ensure your model remains structurally sound before being 3D printed, it’s not yet able to improve 3D models that weren’t viable to begin with. If you upload such a file to MechStyle, you’ll receive an error message, but Faruqi and his colleagues intend to improve the durability of those faulty models in the future.

What’s more, the team hopes to use generative AI to create 3D models for users, instead of stylizing presets and user-uploaded designs. This would make the system even more user-friendly, so that those who are less familiar with 3D models, or can’t find their design online, can simply generate it from scratch. Let’s say you wanted to fabricate a unique type of bowl, and that 3D model wasn’t available in a repository; AI could create it for you instead.

“While style-transfer for 2D images works incredibly well, not many works have explored how this transfer to 3D,” says Google Research Scientist Fabian Manhardt, who wasn’t involved in the paper. “Essentially, 3D is a much more difficult task, as training data is scarce and changing the object’s geometry can harm its structure, rendering it unusable in the real world. MechStyle helps solve this problem, allowing for 3D stylization without breaking the object’s structural integrity via simulation. This gives people the power to be creative and better express themselves through products that are tailored towards them.”

Farqui wrote the paper with senior author Stefanie Mueller, who is an MIT associate professor and CSAIL principal investigator, and two other CSAIL colleagues: researcher Leandra Tejedor SM ’24, and postdoc Jiaji Li. Their co-authors are Amira Abdel-Rahman PhD ’25, now an assistant professor at Cornell University, and Martin Nisser SM ’19, PhD ’24; Google researcher Vrushank Phadnis; Stability AI Vice President of Research Varun Jampani; MIT Professor and Center for Bits and Atoms Director Neil Gershenfeld; and Northeastern University Assistant Professor Megan Hofmann.

Their work was supported by the MIT-Google Program for Computing Innovation. It was presented at the Association for Computing Machinery’s Symposium on Computational Fabrication in November.

The Mexico City Initiative at MIT, led by the Institute’s Norman B. Leventhal Center for Advanced Urbanism (LCAU), has conceived and modeled an impressive array of solutions for challenges facing urban areas in Mexico and beyond. Faculty and students have designed the repurposing of a vintage roller coaster as a public meeting space, modeled strategies to decarbonize a municipal neighborhood, and proposed plans to convert nearly 990 acres of what was once Latin America’s largest landfill into a model of ecological restoration and clean energy production. The initiative has also spawned a sustainable construction startup that’s contributing to local economies in both Mexico and the United States.

When asked what’s most impactful about their work, however, those leading and collaborating with the LCAU’s Mexico City Initiative point to something else: the cross-border human connections they say are essential to continuing the ideation, development, and implementation of projects designed for Mexico City, but likely to be scalable and beneficial in urban centers around the world.

“To really create change in cities, we need to build relationships, friendships, and new networks. And through building them together, we can go so much further,” says Sarah Williams, director of the LCAU, which leads the initiative in collaboration with the National Autonomous University of Mexico (UNAM), the Mexico City government, and the engineering firm Mota-Engil Mexico.

“I think one of the big things we’re proud of is there have been a lot of personal connections created between MIT and UNAM, and I think research collaboration will result from these connections,” says Onésimo Flores PhD ’13, director general of Mota-Engil Mexico’s transportation mobility division. “I think what we have contributed to building is deepening collaboration.”   

UNAM associate professor of architecture Elena Tudela agrees, noting that “beyond the projects themselves, we have developed a genuine friendship that I hope will continue long after this specific collaboration ends.”

“What I personally value most from these years of collaboration on Mexico City’s energy transition is the set of relationships we have built — with researchers, professors and especially the team at the LCAU,” says Tudela, an initiative collaborator. “For local students, the impact has been even more profound. It built bonds that transcend the workshop’s objectives, contributing to a deeper understanding of design as a collaborative, multidisciplinary practice.”

Williams credits Flores with helping to obtain Mota-Engil’s crucial financial support for the LCAU’s Mexico City Initiative. An MIT alumnus who earned his PhD in urban studies and planning in 2013 with Mota-Engil scholarship aid, Flores says the company’s support is meant to accomplish three goals: connect Mexican researchers with MIT, get Mexican students involved in MIT programs, and stimulate interest in projects relevant to cities like Mexico City among MIT faculty.   

“If you can find urban solutions for a city as complex as Mexico City, you can probably figure it out for any city in the world, particularly in the Global South,” he says.

Over the past three years, faculty and students from MIT and UNAM have worked on projects centered on energy transition. Project teams, collaborators, interested local officials, business leaders, and others gathered for a recent symposium showcasing the progress made on the Mexico City Initiative’s projects so far.

Held in Mexico City last fall and featuring presentations by several MIT faculty, the “Energy Transitions” symposium was hosted by the LCAU, UNAM, and Mota-Engil Mexico. Its purpose “was to make sure the research effort that was done together was presented to the public and private sectors — groups that might be able to take the research to the next level,” says Williams, an MIT associate professor of technology and urban planning.

“The lecture series was exciting because we saw an interest in extending all the projects. I also think the conversations and ideas that were had in the room spark the kind of civic debate needed to transform our cities,” Williams says.

Established in 2013, the LCAU’s work cuts across diverse research fields to create innovation in cities.

“There’s not one field that can transform our future cities — innovation happens when we cross disciplines,” says Williams, who became LCAU director four years ago and has since focused the center’s mission on building and maintaining long-term relationships with cities through “City Initiatives.”

Other City Initiatives have included collaborations in Boston, as well as Sydney, Australia; Beirut, Lebanon; Bogota, Colombia; and Pristina, Kosovo. Mexico City was among the first initiatives and is the LCAU’s longest-standing program. Activities have included several classes held between MIT and Mexico City, a public exhibition, a hackathon with MITdesignX, and numerous joint research projects.

Williams describes it as “a fantastic relationship,” which began with development of a strategic plan for a Mexico City Innovation Lab, leading to a decision to focus the initiative on themes playing out over the course of about two years. The current theme is Energy Intersections, which looks at the role design plays in transitioning to cleaner energy infrastructure. 

“This came from the group seeing that Mexico wanted to be a player in the global manufacturing marketplace and one of the barriers was how heavily polluted their energy infrastructure was,” Willliams says.

“The LCAU was founded for this idea that the work and research that we do about cities should be experimental, but also framed within contemporary policies and politics,” she says, adding that the team had considered other possible themes — from water and emergency planning to housing — but “as we started to think about energy, it just became so clearly important.”

Attracting about 70 attendees from Mexico City’s academic, government, and private sectors, the symposium was convened to enable MIT and UNAM researchers to share findings and discuss paths forward for several projects. Featured projects included:

• Redesigning Vallejo-I — aimed at transforming Mexico City’s Vallejo Industrial Zone into a revitalized hub for industry, transportation and housing;
• Decarbonize and Revitalize: Urban Regeneration for Mexico City’s Neighborhoods — which envisions ways for energy, equity, and design to regenerate Mexico City neighborhoods, using the Daniel Garza neighborhood as a model; and
• Bordo Poniente: Territories of Industrial and Ecological Metabolism — which presents strategies for reinventing what was once the world’s third-largest solid waste landfill (Bordo Poniente).

Leading the Bordo Poniente panel was project leader Eran Ben-Joseph, professor of landscape architecture and urban planning at MIT. Developed with UNAM and Mota-Engil partners, the project involved 12 MIT School of Architecture and Planning graduate students working across disciplines to address four integrated objectives: converting waste into public value, advancing energy transition (through methane/leachate capture), promoting equity and environmental justice for neighboring communities, and generating actionable policy recommendations, Ben-Joseph says.

“This collaborative effort exemplifies how international courses can combine rigorous fieldwork, interdisciplinary expertise, and community engagement to reimagine a toxic site as a model of urban regeneration and ecological repair,” he says, adding that the project “reflects MIT’s commitments to climate action, urban innovation, and applied systems thinking.” With over 100,000 landfills worldwide, he says, “a replicable ‘Bordo Model’ positions MIT as a global leader in transformation of waste landscapes into energy, ecological, and civic assets.”

In a similar vein, the Vallejo project reimagines urban industrial blocks as engines of clean energy generation, water resilience, and sustainable mobility. Led by MIT Department of Architecture Lecturer Roi Salgueiro Barrio and moderated by UNAM associate professor of architecture and project collaborator Daniel Daou, the symposium’s Redesigning Vallejo panel discussed how the project establishes an actionable framework for energy and industrial transition that can inspire and guide the revival of other industrial areas.

Finally, MIT professor of architecture and urbanism and project leader Rafi Segal presented the team’s Daniel Garza neighborhood case study, which highlighted two replicable urban planning and community clean energy project designs resulting from work by MIT and UNAM researchers.

“The most impactful aspect of ‘Decarbonize and Revitalize’ is its ability to merge energy transition with urban regeneration at the neighborhood scale. The project does not fit neatly into a single disciplinary category; it operates at the intersection of energy, design, and social infrastructure,” says Daniela Martinez Chapa, a former MIT student and an architect and urban designer who served as research assistant on the MIT team. “The project exemplifies MIT’s commitment to collaborative, context-specific innovation,” she adds.

Like others involved with the Mexico City Initiative, UNAM’s Tudela pointed out how working across disciplines, institutions, and borders has benefited both UNAM and MIT.

“MIT brings cutting-edge tools and methodologies in fields such as energy and urban data science, while UNAM contributes deep local expertise, strong social perspectives, and long-standing engagement with communities,” Tudela says. “This combination has produced highly creative, context-sensitive outcomes.”

As for next steps, Williams is hopeful that conversations started at this fall’s symposium might push the team’s research into the local limelight, helping them go from research and strategies to on-the-ground reality. She pointed to the success of an earlier LCAU Mexico City project as an example of what can happen when the right ideas and stakeholders coalesce.

For the 2022 Mextropoli Architecture and City Festival in Mexico City, an MIT team presented “Sueños con Fiber/Timber, Earth/Concrete.”

“As part of that project, we took a decommissioned roller coaster and reused it as a public forum space. And so that was talking about reuse of wood and making sure that building materials are reused in unique ways,” Williams says.

Adjacent to the repurposed roller coaster, Caitlin Mueller, an associate professor in MIT’s departments of Architecture and Civil and Environmental Engineering, built a structure made of 3D printed bricks that capture the traditional style of Mexican construction, but with a fraction of the carbon footprint. Mueller has since taken the Sueños project further, co-founding a design and technology company (Forma Systems) focused on expanding access to high-quality, low-carbon affordable housing and building systems by reimagining widely available materials such as concrete and earth.

“Caitlin’s project with the bricks is just such a good example of what the Cities Initiative can do. We seeded collaborative research, and now there’s a startup based off the idea, and they are continuing to do the work,” Williams says. “I think that’s the idea — we help to fund research that combines deep local knowledge and MIT’s innovation environment to help inspire new ideas and technologies for cities.

“I would hope these new projects just presented in Mexico would have a similar trajectory,” she says. “The future is open.”

Michael J. Moody, who has served as Institute auditor since 2014, will retire from MIT in October, following a career in internal and external audit spanning 40 years.

Executive Vice President and Treasurer Glen Shor announced the news today in a letter to MIT’s Academic Council.

“I have greatly appreciated Mike’s rigorous and collaborative approach to auditing and advising on the Institute’s policies and processes,” Shor wrote. “He has helped MIT accomplish far-reaching ambitions while adhering to best practices in administering programs and services.”

As Institute auditor, Moody oversees a division that conducts financial, operational, compliance, and technology reviews across MIT. He leads a team of internal auditors that serve as trusted advisors to administrative leadership and members of the MIT Corporation, assessing processes and making recommendations to control risks, improve processes, and enhance decision-making.

The MIT Audit Division maintains a dual reporting structure to ensure its independence. Moody and his team work for the MIT Corporation Risk and Audit Committee but receive administrative support from the MIT Office of the Executive Vice President and Treasurer.

“Mike is highly principled and rigorous with detail, earning our committee’s trust,” says Pat Callahan, chair of the Risk and Audit Committee. “The committee runs like clockwork because of Mike’s dedication and skill.”

Moody has guided the Audit Division through a transformative period, spearheading several impactful initiatives throughout his tenure. He advanced the approval of the first-ever Audit Division Charter to codify the unit’s independence and objectivity and to articulate its mandates for accountability and oversight, and he implemented a new process to distribute audit reports to all senior administrative officers as a best practice. He also initiated the Institute’s inaugural external quality assurance review, for which MIT received the highest rating. Moody has continued the practice of externally auditing the division.

Having a particular interest in leveraging analytics and data to improve workflows and inform assessments, Moody added a data analyst to his team in 2016. The team also sponsors the cross-Institute Data Analysts and Data Scientists (DADS) group, which seeks to foster collaboration while advancing analytics and data practices at an Institute level.

More recently, Moody helped establish the MIT AI Cohort to advance artificial intelligence solutions across the Institute while minimizing associated risks. The group, launched in November 2025, includes representatives from MIT Sloan School of Management, the Koch Institute for Integrative Cancer Research, the School of Engineering, MIT Libraries, the Office of the Vice President for Research, the Division of Graduate and Undergraduate Education, and MIT Health, among others.

A key aspect of Moody's work — and one that has been especially meaningful to him — is helping the MIT community understand the Audit Division's mission and role in furthering the Institute’s positive impact. To facilitate this, he instilled in his team a set of core values that emphasizes professionalism, objectivity, pragmatism, openness, and willingness to listen, and has presented it as a model for peer institutions. He has in this vein focused on building relationships with the community to identify the right opportunities for improvement in MIT’s operations and ensure that the Audit Division’s feedback is constructively delivered and received.

“Mike has been an invaluable partner,” says Suzy Nelson, MIT vice chancellor for student life. “Over the years, his collaborative and knowledgeable approach has helped us improve so many areas — from student organization event management to our business practices to enhancing our student support services. Mike has listened carefully to students’ needs and offered guidance aligned with the goals of the program and student safety.”

Before joining MIT, Moody served in audit and compliance roles at Northwestern University, the University of Illinois at Chicago, and the state of Illinois. At the public accounting firm Coopers and Lybrand (now Pricewaterhouse Coopers LLP), he managed and performed information technology audits and served as a financial and technology consultant for clients in a variety of industries. Moody has also held numerous volunteer and elected leadership positions in international, national, and local professional audit associations. He holds certified internal auditor and certified information systems auditor designations, along with a certification in risk management assurance.

“In reflecting on my time here, I’m most proud of assembling a team that has made positive changes to how MIT operates,” says Moody. “It’s been very rewarding having leaders, staff, and researchers reach out for advice and assistance. It's a testament to the strong relationships we've built across the Institute.”

Shor and Callahan will soon formally launch a search for Institute auditor, and expect to identify Moody’s successor during the fall 2026 semester.

One of the hallmarks of Alzheimer’s disease is the clumping of proteins called Tau, which form tangled fibrils in the brain. The more severe the clumping, the more advanced the disease is.

The Tau protein, which has also been linked to many other neurodegenerative diseases, is unstructured in its normal state, but in the pathological state it consists of a well-ordered rigid core surrounded by floppy segments. These disordered segments form a “fuzzy coat” that helps determine how Tau interacts with other molecules.

MIT chemists have now shown, for the first time, they can use nuclear magnetic resonance (NMR) spectroscopy to decipher the structure of this fuzzy coat. They hope their findings will aid efforts to develop drugs that interfere with Tau buildup in the brain.

“If you want to disaggregate these Tau fibrils with small-molecule drugs, then these drugs have to penetrate this fuzzy coat,” says Mei Hong, an MIT professor of chemistry and the senior author of the new study. “That would be an important future endeavor.”

MIT graduate student Jia Yi Zhang is the lead author of the paper, which appears today in the Journal of the American Chemical Society. Former MIT postdoc Aurelio Dregni is also an author of the paper.

Analyzing the fuzzy coat

In a healthy brain, Tau proteins help to stabilize microtubules, which give cells their structure. However, when Tau proteins become misfolded or otherwise altered, they form clumps that contribute to neurodegenerative diseases such as Alzheimer’s and frontotemporal dementia.

Determining the structure of the Tau tangles has been difficult because so much of the protein — about 80 percent — is found in the fuzzy coat, which tends to be highly disordered.

This fuzzy coat surrounds a rigid inner core that is made from folded protein strands known as beta sheets. Hong and her colleagues have previously analyzed the structure of the core in a particular Tau fibril using NMR, which can reveal the structures of molecules by measuring the magnetic properties of atomic nuclei within the molecules.

Until now, most researchers had overlooked Tau’s fuzzy coat and focused on the rigid core of the fibrils because those disordered segments change their structures so often that standard structure characterization techniques such as cryoelectron microscopy and X-ray crystallography can’t capture them.

However, in the new study, the researchers developed NMR techniques that allowed them to study the entire Tau protein. In one experiment, they were able to magnetize protons within the most rigid amino acids, then measure how long it took for the magnetization to be transferred to the mobile amino acids. This allowed them to track the magnetization as it traveled from rigid regions to floppy segments, and vice versa.

Using this approach, the researchers could estimate the proximity between the rigid and mobile segments. They complemented this experiment by measuring the different degrees of movement of the amino acids in the fuzzy coat.

“We have now developed an NMR-based technology to examine the fuzzy coat of a full-length Tau fibril, allowing us to capture both the dynamic regions and the rigid core,” Hong says.

Protein dynamics

For this particular fibril, the researchers showed that the overall structure of the Tau protein, which contains about 10 different domains, somewhat resembles a burrito, with several layers of the fuzzy coat wrapped around the rigid core.

Based on their measurements of protein dynamics, the researchers found that these segments fell into three categories. The rigid core of the fibril was surrounded by protein regions with intermediate mobility, whereas the most dynamic segments were found in the outermost layer.

The most dynamic segments of the fuzzy coat are rich in the amino acid proline. In the protein sequence, these prolines are near the amino acids that form the rigid core, and were previously thought to be partially immobilized. Instead, they are highly mobile, indicating that these positively charged proline-rich regions are repelled by the positive charges of the amino acids that form the rigid core.

This structural model gives insight into how Tau proteins form tangles in the brain, Hong says. Similar to how prions trigger healthy proteins to misfold in the brain, it is believed that misfolded Tau proteins latch onto normal Tau proteins and act as a template that induces them to adopt the abnormal structure.

In principle, these normal Tau proteins could add to the ends of existing short filaments or pile onto the sides. The fact that the fuzzy coat wraps around the rigid core indicates that normal Tau proteins more likely add onto the ends of the filaments to generate longer fibrils.

The researchers now plan to explore whether they can stimulate normal Tau proteins to assemble into the type of fibrils seen in Alzheimer’s disease, using misfolded Tau proteins from Alzheimer’s patients as a template.

The research was funded by the National Institutes of Health.

As a graduate student, Leslie Tilley spent years studying and practicing the music of Bali, Indonesia, including a traditional technique in which two Balinese drummers play intricately interlocking rhythms while simultaneously improvising. It was beautiful and compelling music, which Tilley heard an unexpected insight about one day.

“The higher drum is the bus driver, and the lower drum is the person who puts the bags on the top of the bus,” a Balinese musician told Tilley.

Today, Tilley is an MIT faculty member who works as both an ethnomusicologist, studying music in its cultural settings, and a music theorist, analyzing its formal principles. The tools of music theory have long been applied to, say, Bach, and rather less often to Balinese drumming. But one of Tilley’s interests is building music theory across boundaries. As she recognized, the drummer’s bus driver analogy is a piece of theory. 

“That doesn’t feel like the music theory I had learned, but that is 100 percent music theory,” Tilley said. “What is the relationship between the drummers? The higher drum has to stick to a smaller subset of rhythms so that the lower drum has more freedom to improvise around. Putting it that way is just a different music-theoretical language.”

Tilley’s anecdote touches on many aspects of her career: Her work ranges widely, while linking theory, practice, and learning. Her studies in Bali became the basis for an award-winning book, which uses Balinese music as a case study for a more generalized framework about collective improvisation, one that can apply to any type of music.

Currently, Tilley is engaged in another major project, supported by a multiyear, $500,000 Mellon Foundation grant, to develop a reimagined music theory curriculum. That project aims to produce an alternative four-semester open access music theory curriculum with a broader scope than many existing course materials, to be accompanied by a new audio-visual textbook. The effort includes a major conference later this year that Tilley is organizing, and is designed as a collaborative project; she will work with other scholars on the curriculum and textbook, with 2028 as a completion date.

If that weren’t enough, Tilley is also working on a new book about the phenomenon of cover songs in modern pop music, from the 1950s onward. Here too, Tilley is combining careful cultural analysis of select popular artists and their work, along with a formal examination of the musical choices they have made while developing cover versions of songs.

All told, understanding how music works within a culture, while understanding the inner workings of music, can deliver us new insights — about music, performers, and audiences.

“What I am focused on fundamentally is how musicians take a musical thing and make something new out of it,” Tilley says. “And then how listeners react to that thing. What is happening here musically? And can that explain the human reaction to it, which is messy and subjective?”

Across all these projects, Tilley has been a consistently innovative scholar who reshapes existing genres of work. For her research and teaching, Tilley has received tenure and is now an associate professor in MIT’s Music and Theater Arts Program.

The joy of collective improv

Both of Tilley’s parents were musicians, but “they never had any intention for their kids to go into music,” says Tilley, a native of Halifax, Nova Scotia. Growing up, she studied piano, violin, and French horn for years; played in a symphony orchestra, brass band, and concert bands; sang in choirs; and performed in musicals. Ultimately she realized she could make a career out of music as well. 

“In 12th grade I suddenly realized, music is what I do. Music is who I am. Music is what I love,” Tilley says. Back then, she pictured herself being an opera singer. Subsequently, as she recalls, “Somewhere along the way, I steered myself into music scholarship.”

Tilley received her bachelor of music degree from Acadia University in Nova Scotia, and then conducted her graduate studies in music at the University of British Columbia, where she earned an MA and PhD. It was in graduate school that Tilley began studying the music of Bali — on campus and during extended periods of field research.

Studying Balinese music was “mildly accidental,” Tilley says, calling it “a little bit of happy happenstance. Encountering these musical traditions exploded the way I thought about music and ways of understanding the interactions of musicians.”

In her research, Tilley looked intensively at two distinct improvised Balinese musical practices: the four-person melodic gong technique “reyong norot” and the two-person drumming practice “kendang arja.” Both are featured in her 2019 book, “Making It Up Together: The Art of Collective Improvisation in Balinese Music and Beyond.” Published by the University of Chicago Press, it won the 2022 Emerging Scholar Award from the Society for Music Theory.

Grounded in empirical evidence, the book proposes a novel, universal framework for understanding the components of collective improvisation. That includes both the more strictly musical aspects of improvisation — how much flexibility musicians give themselves to improvise, for instance — as well as the forms of interaction musicians have with their co-performers.

“My book is about collective improvisation and what it means,” Tilley says. “What is the give and take of that process, and how can we analyze that? There are lots of scholars who have discussed collective improvisation as it exists in jazz. The delicious joy of collective improvisation is something anybody who improvises in a musical group will talk about. My book looks at examples, especially the case studies I have from Bali, and then creates bigger analytical frameworks, so there can finally be an umbrella way of looking at this phenomenon across music cultures and practices.”

Despite her years of immersing herself in the music, and playing it, Tilley says, “I am a beginner in comparison to the drummers I studied with, who have been playing forever and played with other masters their whole lives, and were generous enough to allow me to learn from them.” Still, she thinks the experience of playing music while studying it is indispensable.

“Ethnomusicology is a field that takes a bit from other fields,” Tilley notes. “The idea of participant observation, we borrow that from anthropology, and the idea of close musical analysis is from musicology or music theory. It’s an in-between way of thinking about music where I get to both participate and observe. But also I’m a music analysis nerd: What’s happening in the notes? Looking at music note-by-note, but from a place of physical embodiment, provides a better understanding than if I had just looked at the notes.”

Expanding instruction

At present, Tilley is devoting significant effort to her music-theory curriculum work, which is funded by the Mellon Foundation as a three-year effort. The upcoming summer conference she is organizing, also supported by the Mellon Foundation, will be a key part of the project, allowing a wide range of scholars to air perspectives about reimagining music theory studies in the 21st century.

Substantively, the idea is to broaden the scope of music theory instruction. Often, Tilley says, “music theory is learning how to understand the musical structures that are essentially between Bach and early Beethoven, that kind of narrow range of a couple hundred years, really amazing musical systems with a very deep, written-down music theory. But that accepted canon leaves out so many other kinds of music and ways of knowing.” Instead, she adds, “If we were not beholden to any assumptions about what we should have in a music program, what skills would we want our students to walk away from four semesters of music theory with?”

About the conference, Tilley quips: “Sitting in a room and nerding out with a bunch of people who care deeply about a thing you care about, which in my case is music, music theory, and pedagogy, is possibly the coolest thing you can do with your time. Hopefully something wonderful comes out of it.”

As Tilley views it, her current book project on pop music cover songs stems from some of the same issues that have long animated her thinking: How do artists fashion their work out of existing knowledge?

“The project on cover songs is similar to the project on collective improvisation in Bali,” Tilley says, in the sense that when it comes to improvisation, “I have a bank of things I know, in my head and in my body about this musical practice, and within that context I can create something that is new and mine, based on something that exists already.”

She adds: “Cover songs to me are the same, but different. The same in that it’s a musical transformation, but different because a pop song doesn’t just have lyrics, melody, and chords, but the vocal quality, the arrangement, the brand of the performer, and so much more. What we think about in popular music isn’t just the song, it’s the person singing it, the social and political contexts, and the listener’s personal relationships to all those things, and they’re so wrapped up together we almost can’t disentangle them.”

As with her earlier work, Tilley is not just examining individual pieces of music, but building a larger analytical model in the process — one that factors in the formal musical changes artists make as well as the cultural components of the phenomenon, to understand why cover songs can produce strong and varying reactions among listeners.

In the process, Tilley has been presenting conference papers and invited talks on the topic for a number of years now. One case that interests Tilley is the singer-songwriter Tori Amos, whose many cover versions transform the viewpoint, music, and meaning of songs by artists from Eminem to Nirvana, and more. There may also be some Taylor Swift content in the next book, although with thousands and thousands of songs to choose from in the pop-rock era, there could be something for everyone — fitting Tilley’s ethos of studying music broadly, across time and space as it is created, recreated, and recreated again.

“This is why music is infinitely cool,” Tilley says. “It’s so malleable, and so open to interpretation.” 

The mucosal surfaces that line the body are embedded with defensive molecules that help keep microbes from causing inflammation and infections. Among these molecules are lectins — proteins that recognize microbes and other cells by binding to sugars found on cell surfaces.

One of these lectins, MIT researchers have found, has broad-spectrum antimicrobial activity against bacteria found in the GI tract. This lectin, known as intelectin-2, binds to sugar molecules found on bacterial membranes, trapping the bacteria and hindering their growth. Additionally, it can crosslink molecules that make up mucus, helping to strengthen the mucus barrier.

“What’s remarkable is that intelectin-2 operates in two complementary ways. It helps stabilize the mucus layer, and if that barrier is compromised, it can directly neutralize or restrain bacteria that begin to escape,” says Laura Kiessling, the Novartis Professor of Chemistry at MIT and the senior author of the study.

This kind of broad-spectrum antimicrobial activity could make intelectin-2 useful as a potential therapeutic, the researchers say. It could also be harnessed to help strengthen the mucus barrier in patients with disorders such as inflammatory bowel disease.

Amanda Dugan, a former MIT research scientist, and Deepsing Syangtan PhD ’24 are the lead authors of the paper, which appears today in Nature Communications.

A multifunctional protein

Current evidence suggests that the human genome encodes more than 200 lectins — carbohydrate-binding proteins that play a variety of roles in the immune system and in communication between cells. Kiessling’s lab, which has been exploring lectin-carbohydrate interactions, recently became interested in a family of lectins called intelectins. In humans, this family includes two lectins, intelectin-1 and intelectin-2.

Those two proteins have very similar structures, but intelectin-1 is distinctive in that it only binds to carbohydrates found in bacteria and other microbes. About 10 years ago, Kiessling and her colleagues were able to discover intelectin-1’s structure, but its functions are still not fully understood.

At that time, scientists hypothesized that intelectin-2 might play a role in immune defense, but there hadn’t been many studies to support that idea. Dugan, then a postdoc in Kiessling’s lab, set out to learn more about intelectin-2.

In humans, intelectin-2 is produced at steady levels by Paneth cells in the small intestine, but in mice, its expression from mucus-producing Goblet cells appears to be triggered by inflammation and certain types of parasitic infection.

In the new study, the researchers found that both human and mouse intelectin-2 bind to a sugar molecule called galactose. This sugar is commonly found in molecules called mucins that make up mucus. When intelectin-2 binds to these mucins, it helps to strengthen the mucus barrier, the researchers found.

Galactose is also found in carbohydrates displayed on the surfaces of some bacterial cells. The researchers showed that intelectin-2 can bind to microbes that display these sugars, including many pathogens that cause GI infections.

The researchers also found that over time, these trapped microbes eventually disintegrate, suggesting that the protein is able to kill them by disrupting their cell membranes. This antimicrobial activity appears to affect a wide range of bacteria, including some that are resistant to traditional antibiotics.

These dual functions help to protect the lining of the GI tract from infection, the researchers believe.

“Intelectin-2 first reinforces the mucus barrier itself, and then if that barrier is breached, it can control the bacteria and restrict their growth,” Kiessling says.

Fighting off infection

In patients with inflammatory bowel disease, intelectin-2 levels can become abnormally high or low. Low levels could contribute to degradation of the mucus barrier, while high levels could kill off too many beneficial bacteria that normally live in the gut. Finding ways to restore the correct levels of intelectin-2 could be beneficial for those patients, the researchers say.

“Our findings show just how critical it is to stabilize the mucus barrier. Looking ahead, we can imagine exploiting lectin properties to design proteins that actively reinforce that protective layer,” Kiessling says.

Because intelectin-2 can neutralize or eliminate pathogens such as Staphylococcus aureus and Klebsiella pneumoniae, which are often difficult to treat with antibiotics, it could potentially be adapted as an antimicrobial agent.

“Harnessing human lectins as tools to combat antimicrobial resistance opens up a fundamentally new strategy that draws on our own innate immune defenses,” Kiessling says. “Taking advantage of proteins that the body already uses to protect itself against pathogens is compelling and a direction that we are pursuing.”

The research was funded by the National Institutes of Health Glycoscience Common Fund, the National Institute of Allergy and Infectious Disease, the National Institute of General Medical Sciences, and the National Science Foundation.

Other authors who contributed to the study include Charles Bevins, a professor of medical microbiology and immunology at the University of California at Davis School of Medicine; Ramnik Xavier, a professor of medicine at Harvard Medical School and the Broad Institute of MIT and Harvard; and Katharina Ribbeck, the Andrew and Erna Viterbi Professor of Biological Engineering at MIT.