Elazer Edelman receives the 2026-2027 Killian Award

Elazer R. Edelman ’78, SM ’79, PhD ’84, an engineer and cardiologist who helped develop cardiovascular stents that have been used by more than 100 million people, has been named the recipient of the 2026-2027 James R. Killian Jr. Faculty Achievement Award.

The award committee recognized Edelman, the Edward J. Poitras Professor in Medical Engineering at MIT’s Institute for Medical Engineering and Science, for his work at the interface of engineering, science, and medicine. In addition to his work on stents, he has made significant contributions to tissue engineering and to deciphering the fundamental biological processes underling cardiovascular disease.

A member of the MIT faculty for more than 30 years, Edelman is renowned as a teacher and mentor. He is also a professor of medicine at Harvard Medical School and a critical care cardiologist at Brigham and Women’s Hospital, and he served as director of MIT’s Institute for Medical Engineering and Science from 2018 to 2024.

“He is a clinician of the highest order who has touched the lives of many, a teacher of greatest passion who has mentored hundreds and taught thousands, and an engineer whose work has reached around the globe,” states the award citation, which was presented at today’s faculty meeting by Xuanhe Zhao, chair of the Killian Award Selection Committee and a professor of mechanical engineering at MIT.

The Killian Award was established in 1971 to recognize outstanding professional contributions by MIT faculty members. It is the highest honor that the faculty can give to one of its members.

“It’s deeply meaningful that your colleagues think enough of you to want to recognize your life’s work. This is an incredibly awe-inspiring group, and for them to feel that way is a truly special honor,” Edelman told MIT News after learning that he had been selected for the award.

Edelman, who grew up in Brookline, Massachusetts, got his first MIT experience as a high school student, taking classes as part of the Institute’s High School Studies Program. That experience led him to apply to MIT, where he earned two bachelor’s degrees, in applied biology and electrical engineering and computer science, followed by a master’s in bioelectrical engineering and a PhD in medical engineering and medical physics. He also earned an MD from Harvard Medical School through the Harvard-MIT Program in Health Sciences and Technology.

As a graduate student, Edelman was one of the first students to join the lab of Robert Langer, the David H. Koch Institute Professor at MIT. Working with Langer, he developed mathematical approaches to guide the design of controlled drug-delivery systems.

“Bob opened my eyes to what it really means to use MIT science to make the world a better place,” Edelman says.

Early in his career, Edelman brought a scientist’s eye to one of medicine’s most urgent clinical challenges: how to address diseased blood vessels without provoking further injury. His studies of the cellular and molecular mechanisms of atherosclerosis and vascular healing — work that continues to this day — coupled with fundamental insights from engineering and physics, helped enable the optimization of bare-metal stents and the development of drug-eluting stents. 

Roughly 90 percent of the more than 100 million stents implanted worldwide now release drugs through principles his work helped define and advance, saving countless lives and improving quality of life for patients around the globe.

Edelman’s work reflects a continuing cycle of discovery: Basic insights in biology shaped transformative medical technologies, and the challenges posed by those technologies, in turn, continue to push biology, science, technology, and engineering together toward new discoveries and clinical advances.

“His landmark work on the cellular mechanisms underlying atherosclerosis and on the biology of cell-material interfaces established the scientific foundations that transformed bare-metal cardiovascular stents from a promising mechanical concept into a biologically informed and clinically transformative therapy with enduring legacy — paving the way for a cascade of innovations that changed the landscape of medicine,” the award committee wrote.

More recently, Edelman’s lab has designed novel heart valves and other innovative approaches to mechanical organ support.

During his tenure as the director of IMES, he led an MIT-wide effort to provide personal protective equipment to health care workers and emergency responders in the early stages of the Covid-19 pandemic. 

“One of the things I’m most proud of is working with many people at MIT in the Covid response. At the height of Covid, we were supplying 23 percent of all PPE throughout New England,” he says. “Every single person who could possibly contribute contributed.”

As director of MIT’s Center for Clinical Translational Research and faculty lead for the Hood Pediatric Innovation Hub, he is now working to help clinical research thrive at MIT and to address the inequities in technology access for society’s most vulnerable population — children.

Throughout his career, Edelman has devoted himself to mentoring students and trainees.

“I’m really proud of what our students have accomplished, not only scientifically, but on a personal level, and not only with me, but everything they’ve done afterwards. The greatness of a place like MIT is that you enable people to grow beyond their potential. That’s really the extraordinary thing about our community,” he says.

In recognition of his scientific achievements, Edelman has been elected a fellow of the American College of Cardiology, the American Heart Association, the Association of University Cardiologists, the American Society of Clinical Investigation, American Institute of Medical and Biological Engineering, the American Academy of Arts and Sciences, National Academy of Inventors, the Institute of Medicine/National Academy of Medicine, and the National Academy of Engineering.

“The Selection Committee is delighted to have this opportunity to honor Professor Elazer Edelman for his exceptional contributions to medical engineering and science, to MIT, and to the world,” the award citation concludes.

de MIT News https://ift.tt/FvOsVgT

MIT chemists discover and isolate a new boron-oxygen molecule

Oxygen is a cornerstone of chemistry, largely because it is so good at building the organic molecules that make up our world. Some oxygen-based compounds, called peroxides, are famous for being highly reactive — they act like oxygen delivery trucks, transferring atoms to other molecules. This process is essential for everything from creating new medicines to industrial manufacturing.

In an open-access study published April 24 in Nature Chemistry, researchers from the labs of MIT professors Christopher C. Cummins and Robert J. Gilliard, Jr. have revealed a brand-new type of peroxide containing boron. This molecule, called a dioxaborirane, represents a major advance in a field where such structures were long-proposed, but considered too unstable to actually isolate.

Room-temperature breakthrough

Dioxaborirane forms when a specially engineered boron molecule reacts with oxygen gas. What makes this discovery remarkable is that the reaction happens almost instantly at room temperature. Usually, creating strained oxygen-containing rings like this requires extreme, “punishing” conditions — like freezing temperatures or high pressure — to keep the molecule from falling apart.

Using advanced tools such as crystallography and computational modeling, the team proved the existence of a highly strained, three-member ring made of one boron and two oxygen atoms.

A molecule with two personalities

The most exciting part of the discovery is how the molecule behaves. Depending on its electrical charge, it acts in two very different ways:

• The builder: It can donate oxygen atoms to help construct new chemical compounds.
• The trapper: It can react with carbon dioxide, potentially offering a new way to capture and transform greenhouse gases.

“By showing that these compounds can be generated under mild conditions, our work opens the door to entirely new types of chemistry,” says Chonghe Zhang, the first author of the paper and an MIT chemistry graduate student co-advised by Cummins and Gilliard. “In the long term, these findings could provide us with powerful new tools for oxidation reactions in synthesis and materials science.”

Additional co-authors on the paper are Noah D. McMillion and Chun-Lin Deng of MIT and Junyi Wang of Baylor University. The work was funded, in part, by the U.S. National Science Foundation.

de MIT News https://ift.tt/o1UdINr

Researchers “reprogram” materials by quickly rearranging their atoms

It’s been 37 years since scientists first demonstrated the ability to move single atoms, suggesting the possibility of designing materials atom by atom to customize their properties. Today there are several techniques that allow researchers to move individual atoms in order to give materials exotic quantum properties and improve our understanding of quantum behavior.

But existing techniques can only move atoms across the surface of materials in two dimensions. Most also require painstakingly slow processes and high-vacuum, ultracold lab conditions.

Now a team of researchers at MIT, the Department of Energy’s Oak Ridge National Laboratory, and other institutions has created a way to precisely move tens of thousands of individual atoms within a material in minutes at room temperature. The approach uses a set of algorithms to carefully position an electron beam at specific locations of a material, then scan the beam to drive atomic motions.

“The results demonstrate the ability to deterministically move atoms repeatedly within a material’s 3D atomic lattice,” says MIT Research Scientist Julian Klein, who conceived of and directed the project. “We can reprogram materials to create defects at will, realizing entirely artificial states of matter not found in nature with a wide range of potential applications, including sensing, optical, and magnetic technologies. There are so many opportunities enabled by these techniques.”

“It’s like a photocopier that can create columns of identical atomic defects,” says Frances Ross, MIT’s TDK Professor in Materials Science and Engineering. “It’s especially useful because you can move a few atoms to form defects, and do it again and again to build atomic arrangements in three dimensions that have tunable functions in a system that is more robust because the defects exist beneath the surface.”

In a Nature paper appearing today, the researchers described their approach and how they used it to create more than 40,000 quantum defects in a crystalline semiconductor material.

The researchers say the approach offers a new way to study quantum behavior in materials. It could also one day lead to improvements in systems that leverage quantum defects, like quantum computers, dense magnetic memory, atomic-scale logic devices, and more.

Joining Klein and Ross on the paper are Kevin Roccapriore and Andrew Lupini, researchers at Oak Ridge National Laboratory; Mads Weile, a former MIT visiting student; Malte Rösner and Sergii Grytsiuk, former Radbound University researchers; Zdenek Sofer, a professor at the University of Chemistry and Technology Prague in the Czeck Republic; Dimitar Pashov, a research associate at King’s College London; and Mark van Schilfgaarde and Swagata Acharya, researchers at the National Laboratory of the Rockies.

Designing matter

In a now-famous 1989 demonstration, IBM researchers used a scanning tunneling microscope to arrange 35 atoms on the surface of a chilled crystal to spell out “IBM.” It was the first time atoms had been precisely positioned, and an important milestone. The approach enabled scientists to engineer specific defects, such as atom-sized vacancies and surface atoms in crystalline materials, leading to major advances in quantum science. But placing those 35 atoms had taken researchers many hours, if not days.

In parallel with those developments, researchers also developed two additional approaches for manipulating atoms in a vacuum, using optical tweezers to trap neutral atoms and oscillating electric fields to trap ions.

While those approaches have enabled remarkable progress, they remain limited to either surfaces or highly controlled experimental systems. Another factor limiting the design of materials for applications such as quantum computers is the inability of atomic manipulation techniques to move atoms in three dimensions: The patterns are created on the surface of a material, where they are exposed to the environment and cannot survive outside tightly controlled laboratory settings.

Engineering usable materials with custom quantum properties would require researchers to rearrange many more atoms, preferably on the interior of materials. The MIT researchers demonstrated that capability in their Nature study.

“We were trying to improve the number of atoms we could move in a reasonable length of time,” Ross explains. “You want to place the atoms close to each other so they can interact, and you want to have a lot of them arranged as you’d like — thousands or millions of atoms in specific locations you’ve chosen. That’s been challenging with existing techniques.”

The researchers used high-performance microscopes at the Department of Energy’s Oak Ridge National Laboratory for their work. Their new technique uses a sophisticated set of algorithms to direct an electron beam at a target atom with a precision of a few picometers (one trillionth of a meter). The beam does a tight loop to help zero in on its target, then sends a beam of electrons through the material in a carefully designed oscillating path, spending about a second at each location. 

“We developed algorithms that allow us to quickly obtain information on where the beam is in the material,” Klein explains. “The trick is to use very few electrons in the process of getting that information, so the whole process is fast and does not unintentionally damage your crystal. It took many years to develop these algorithms and determine the minimum required information needed to infer where the atoms are located with the highest precision.”

The motion of the beam as it delivers electrons, an oscillating path devised by the researchers, pushes entire columns of atoms to new locations the way you might swipe a screen on your phone.

In their experiments, the researchers used this approach to direct the movement of columns of chromium atoms in a stable semiconductor material, chromium sulfide bromide, using a crystal about 13 nanometers thick. The beam created atom-sized vacancies in the material, each vacancy paired with the displaced atom, that they calculated would give the crystal exotic quantum properties.

To show how well their approach scaled, the researchers created over 40,000 defects in about 40 minutes, creating vacancies and interstitials across different distances and in different patterns, calculating that different atomic arrangements should give rise to different quantum mechanical properties.

“Each of these defects has certain ways to interact with its neighbors,” Ross says. “If you place them in a pattern, you could essentially simulate the interactions between the electrons within a molecule, so the whole electronic structure of that molecule can, in a sense, be mapped onto a pattern that you can write into a solid material.”

Probing quantum systems

The success of the approach was likely aided by the way chromium binds within the semiconductor, which has a unique electronic structure. The researchers are further investigating other crystals in which this might work, though they suspect it will be applicable to a diverse range of materials. 

In the materials where it works, the approach has several advantages over existing techniques.

“Moving atoms within solids enables the creation of quantum properties in materials that are stable in the air outside of vacuum conditions,” Klein explains. “And this approach is also scalable to many atomic manipulations, so moving thousands or millions of atoms to create artificial structures would represent completely new physics. We’d like to study those systems.”

The researchers say their technique lays the foundation for a new class of programable matter, which could aid the development of a range of stable quantum devices.

“This is a way of accessing physical phenomena that involve a lot of atoms placed in a certain specified arrangement, and can’t be done by self-assembly,” Ross says. “You can create individually tuned atomic arrangements, and you can have so many of them, each arranged exactly how you like over areas that are tens and hundreds of nanometers. That leads to collective physics we are excited to explore.”

The work was supported, in part, by the Department of Energy and the National Science Foundation.

de MIT News https://ift.tt/NLIXvba

A new approach to cancer vaccination yields more powerful T cells

MIT engineers have developed a new way to amplify the T-cell response to mRNA vaccines — an advance that could lead to much more powerful cancer vaccines and stronger protection against infectious diseases.

Most vaccines generate both antibodies and T cells that can target the vaccine antigen by activating antigen-presenting cells, such as dendritic cells. In this study, the researchers boosted the T-cell response with a new type of vaccine adjuvant (a material that can help stimulate the immune system). The new adjuvant consists of mRNA molecules encoding genes that turn on immune signaling pathways and promote a supercharged T-cell response. 

In studies in mice, this mRNA-encoded adjuvant enabled the immune system to completely eradicate most tumors, either on its own or delivered along with a tumor antigen. The adjuvant also boosted the T-cell response to vaccines against influenza and Covid-19.

“When these adjuvant mRNAs are included in the vaccines, the number of antigen-targeted T cells is substantially increased. These T cells play an important role in the immune response, assisting in the clearance of virally infected cells or, in the case of cancer, killing cancerous cells,” says Daniel Anderson, a professor in MIT’s Department of Chemical Engineering and a member of MIT’s Koch Institute for Integrative Cancer Research and Institute for Medical Engineering and Science.

Anderson and Christopher Garris, an assistant professor at Harvard Medical School and Massachusetts General Hospital, are the senior authors of the study, which appears today in Nature Biotechnology. The paper’s lead authors are Akash Gupta, a former Koch Institute research scientist who is now an assistant professor at the University of Houston; Kaelan Reed, an MIT graduate student; and Riddha Das, a research fellow at Harvard Medical School and MGH. Robert Langer, the David H. Koch Institute Professor at MIT, and Ralph Weissleder, a professor of radiology and systems biology at MGH and Harvard Medical School, are also authors.

More powerful vaccines

Vaccines that stimulate the body’s immune system to attack tumors have shown promise in clinical trials, and a handful have been FDA-approved for certain cancers. In some patients, these vaccines stimulate a strong response, but in others, a weak response fails to kill the cancerous cells.

The MIT-MGH team wanted to find a way to make those immune responses more powerful. One way to do that is to deliver immune-stimulating molecules called cytokines along with a vaccine. However, cytokines can overstimulate the immune system, leading to potentially severe side effects.

As an alternative approach, the researchers decided to deliver mRNA strands encoding two genes, IRF8 and NIK, which are involved in antigen presentation and can switch immune cells into a more active state.

NIK is an enzyme that activates a signaling pathway involved in immunity and inflammation, while IRF8 is a transcription factor that helps program dendritic cells, particularly a subset called cDC1, which are especially effective at activating T cells. These antigen-presenting cells can digest foreign antigens and present them to T cells, stimulating the T cells to mount an immune response against the antigen.

“We see that the dendritic cells start shifting toward a more cDC1 phenotype, which is the most important dendritic cell phenotype and can generate a stronger T-cell response,” Gupta says. 

The researchers packaged the mRNA in lipid nanoparticles similar to those used to deliver mRNA Covid vaccines, but with a different chemical composition that promotes their delivery to the spleen after being injected intravenously. 

Inside the spleen, the particles encounter antigen-presenting cells, including dendritic cells. Within 24 hours, these cells begin expressing IRF8 and NIK, and both of these pathways help drive dendritic cells to mature and become activated so that they can prime an anti-tumor response. 

Over a few days to a week, the T-cell population expands. These T cells, along with other immune cells such as natural killer (NK) cells, can then recognize and attack tumors.

“Most cancer immunotherapies rely on external signals to activate immune cells. We take a different approach — reprogramming immune cells from within by targeting their internal signaling machinery, enabling a more potent and durable anti-tumor response,” Das says. 

Stronger T cells

The researchers tested the immune-remodeling mRNAs in several mouse models of cancer, including an aggressive bladder cancer, colon carcinoma, melanoma, and metastatic lung cancer. In nearly all of these mice, the injected mRNA stimulated a strong T-cell response that significantly slowed tumor growth and in many cases completely eradicated the tumors. This happened even when the mice were not given a vaccine against a specific cancer antigen. When they were, the response was even stronger.

“We showed that you can get an anti-cancer response with these adjuvants without including the antigen, just by activating the immune system. However, cancer-specific antigens with the adjuvants in a vaccine further improved the responses,” Anderson says.

The mRNA adjuvant also enhanced the immune response to immunotherapy drugs called checkpoint blockade inhibitors. These drugs, which work by lifting a brake that tumor cells put on T cells, are FDA-approved to treat several kinds of cancer. These drugs don’t work for all patients, but combining them with the mRNA vaccine adjuvant could offer a way to make them more effective, the researchers say.

“The microenvironment of solid tumors is often hostile to T cells and represents a major barrier to effective immunotherapy. We find that immune remodeling with these adjuvants creates a T cell–permissive environment and promotes tumor rejection,” Garris says.

The researchers also explored whether their new adjuvant could boost the immune response to vaccination against viral infection. When they delivered the mRNA particles along with Covid or flu vaccines, they found that the vaccine generated a 10-to-15-fold stronger T cell response in the mice.

The researchers now plan to test this approach in additional animal models, in hopes of developing it for use in both cancer and infectious diseases. 

“While there are differences between the mouse systems that we’ve worked in and humans, we are optimistic that these adjuvants will work in humans and could improve a range of different vaccines,” Anderson says.

The research was funded by Sanofi, the National Institutes of Health, the Marble Center for Cancer Nanomedicine, and the Koch Institute Support (core) Grant from the National Cancer Institute.

de MIT News https://ift.tt/XRIrhxM

Improving the reliability of circuits for quantum computers

Quantum computers could someday solve pressing problems that are too convoluted for classical computers, such as modeling complex molecular interactions to streamline drug discovery and materials development. 

But to build a superconducting quantum computer that is large and resilient enough for real-world applications, scientists must precisely engineer thousands of quantum circuits so they perform operations with the lowest possible error rate.

To help scientists design more predictable circuits, researchers from MIT and Lincoln Laboratory developed a technique to measure a property that can unexpectedly cause a superconducting quantum circuit to deviate from its expected behavior. Their analysis revealed the source of these distortions, known as second-order harmonic corrections, leading to underperforming circuit architectures.

The MIT researchers fabricated a device to detect second-order harmonic corrections, identify their origin, and precisely measure their strength. This technique could help scientists deliberately design quantum circuits that can counteract the effects of these deviations.

This is especially important in larger and more complicated quantum circuits, where the negative impact of second-order harmonic corrections can be amplified. 

“As we make our quantum computers bigger and we want to have more precise control over the parameters of these devices, identifying and measuring these effects is going to be important for us to have a precise understanding of how these systems are constructed. It is always important to keep diving down into the circuit to see if there is an effect you didn’t expect, which impacts how your device is performing,” says Max Hays, a research scientist in the Engineering Quantum Systems (EQuS) group of the Research Laboratory of Electronics (RLE) and co-lead author of a paper on this research.

Hays is joined on the paper by co-lead author Junghyun Kim, an electrical engineering and computer science (EECS) graduate student in the EQuS group; senior author William D. Oliver, the Henry Ellis Warren (1894) Professor of EECS and professor of physics, leader of the EQuS group, director of the Center for Quantum Engineering, and associate director of RLE; as well as others at MIT and Lincoln Laboratory. The research appears today in Nature Physics.

A pair-wise problem

In a quantum computer that utilizes superconducting circuits, which is one of many potential computing platforms, Josephson junctions are critical elements that enable the transfer and manipulation of information. These devices utilize two superconducting wires that are brought very close together, with a nanometer-scale barrier between them. Like a traditional circuit, the electric charge in Josephson junctions is carried by electrons. 

But in a superconducting circuit, charge-carrying electrons pair up, forming what are called Cooper pairs. These Cooper pairs can “quantum tunnel” through the barrier between the two wires, transporting current from one wire to the other.

Cooper pairs can usually only tunnel one pair at a time, which is a key property that makes quantum computation possible. 

“If you try to force more Cooper pairs through, it just doesn’t work. This non-linear effect is extremely important for all our circuits. If we didn’t have that effect, then we wouldn’t be able to control or manipulate any quantum information that we store in these circuits,” Hays explains.

But sometimes, Cooper pairs can unexpectedly squeeze through the barrier two at a time, an effect that is known as a second-order harmonic correction. This effect limits the performance of a quantum circuit that has been configured to only allow single-pair tunneling.

“If two Cooper pairs tunnel at the same time, then the assumption we used to build our circuit doesn’t apply anymore. We need to fix the circuit so it can handle that,” Kim says.

But before they can fix the circuit, scientists need to know the source and strength of these distortions.

To obtain this information, the MIT researchers fabricated a quantum circuit so it would be very sensitive to these effects. Essentially, the device is designed to suppress the quantum tunneling process of single Cooper pairs, while allowing the two-pair tunneling process to continue. 

In this way, they can detect the presence of second-order harmonic corrections and precisely measure their strength. 

Straight to the source

They can also use this circuit to pinpoint the source of these harmonics, which helps researchers identify the best way to correct for them. 

There are two potential sources of second-order harmonics — one source is intrinsic to the dynamics of the Josephson junction and the other is caused by the wires connecting the junction to other circuit elements. 

While prior research had indicated the second-order harmonics could be due to the dynamics of the junction, the MIT researchers found that additional inductance — the tendency to oppose changes in the flow of electric current —from wires in the circuit was the actual source in their devices. 

“This is important because, if we know where the second-order harmonic correction is coming from, we can predict how strong it is likely to be, and use that information to engineer more predictable circuits that will hopefully perform better,” Hays says.

In the future, the researchers want to design experiments that more accurately predict how a device will perform when second-order harmonic corrections occur. They also want to study other sources of second-order harmonic corrections and whether those sources could have negative impacts on a circuit under different fabrication conditions.

This work is funded, in part, by the U.S. Department of Energy, the U.S. Co-design Center for Quantum Advantage, the U.S. Air Force, the Korea Foundation for Advanced Studies, and the Intelligence Community Postdoctoral Research Fellowship Program at MIT. 

de MIT News https://ift.tt/9y4ivc6

Solving hard problems in soft electronics

A crepe cake.

That’s how Camille Cunin describes the polymer-metal “sandwiches” that became a highlight of her doctoral thesis at MIT’s Department of Materials Science and Engineering (DMSE). Over close to five years, these composites were a key component of her research on bioelectronics — devices designed to interface with the human body.

Cunin completed her PhD in February — she’ll attend commencement in May — but traces her interest in bioelectronics to a formative summer internship at Massachusetts General Hospital (MGH) in Boston in 2019. There, she saw a patient with Parkinson’s disease struggle to swallow a tethered “capsule” intended to function as an exploratory gut probe. The device failed, and the gap between lab-based design and real life became all too apparent.

The incident validated the career path Cunin had already begun to pursue: to make usable products that have a positive impact on people’s lives. It’s a purpose that hasn’t gone unnoticed. “Some might be happy with a sketch of a concept and no actual demonstration, but Camille has a remarkable ability in that she wants to do materials science that can translate to real-world applications,” says her advisor, Aristide Gumyusenge.

Building blocks

The daughter of a psychologist and an engineer, Cunin grew up in Paris, encouraged by her parents to be curious about the world around her. LEGO blocks featured prominently in her childhood. When her father found some old lights in a box in the attic, 9-year-old Camille strung them to decorate her LEGO castle by creating a circuit, complete with a fuse.

Strong grades earned her a spot in France’s elite post-secondary preparatory classes for admission to the country’s prestigious grandes écoles. The intensive and competitive prep classes, however, left Cunin with a sour aftertaste — “for a while I hated science, because the environment was too competitive for me,” she says — and a bit rudderless in engineering school.

It was the research internship thousands of miles from home, at MGH — part of her master’s in engineering at École Centrale de Marseille in France — that rebooted her love of science. The open-ended nature of research appealed to her curiosity and helped her regain confidence in solving problems. She was delighted to be accepted at MIT DMSE for her doctoral studies. “In Boston, I thrived in collaborative environments, and it felt like anything was possible,” she says.

Stretching possibilities

Before starting at MIT, Cunin had a wealth of interdisciplinary experience, from internships and her graduate studies. Unsure about how to slot it all together, she was looking for an advisor at a time when Gumyusenge, Henry L. Doherty Career Development Professor in Ocean Utilization and assistant professor of materials science and engineering, was himself just establishing his lab at DMSE.

When Gumyusenge shared plans to work on projects to turn biological signals into electronic data, Cunin was excited to build on her prior research in biomedical devices. “Here was a chance to fine-tune the materials and to optimize the performance of bioelectronic devices. I really felt I could leverage my strengths in Aristide’s lab,” she remembers.

Gumyusenge proved a great fit, supporting Cunin’s broad research ambitions while helping her shape and integrate them into a coherent doctoral project. She tackled everything from developing and characterizing new materials to fabricating transistors and learning surgery to test the devices in animal models. The final dissertation focused on organic transistors, which boost body signals for easier detection in soft electronics.

Biological signals, like those from nerves in the body, are weak, and transistors amplify them so they can be measured. The challenge with developing bioelectronic devices is that traditional components are hard and rigid, while the human body is not. Devices must perform as needed and be soft and flexible to avoid irritating human tissue.

Another complication: Biological processes involve charged ions moving through fluids, while electronics rely on electrons moving through materials. Before transistors can amplify signals, they first have to convert biological signals into electronic ones for circuits to pick up.

Cunin’s transistor design needed to solve two major challenges: first, to facilitate the movement of electrons and ions in the “channel,” the hub of all signal activity, in soft, hydrated environments; and second, to be pliable enough to conform to the human body.

It was no easy task.

Elegant simplicity

Gumyusenge’s lab typically uses chemistry to modify material behavior, but Cunin took a different tack. Since polymers are soft, and metals are good conductors, she looked to the classic French pastry mille-feuille, which inspired the layered design: thin metal sheets sandwiched between layers of porous elastomer. The metal stretches with the elastomer and forms microcracks. Charges get trapped in the cracks but can still flow through the stack, while the elastomer’s strong adhesion keeps the layers together.

Her approach won Cunin high marks from her advisor. “Camille was working on a complex problem, but she found a way to simplify it with a straightforward approach,” Gumyusenge says.

Of course, even an elegant solution needs test drives. “The more crystalline the polymers are, the better the charges percolate and travel in the material,” Cunin points out, referring to how ordered the semiconducting polymers in the transistor channel are. But if they’re packed too tightly, ions don’t move freely, and the transistor channel can’t switch properly. The arrangement of the spaghetti-like polymer chains controls this balance, so Cunin studied the composites’ structure to optimize both ionic and electronic performance.

Professor Polina Anikeeva, who co-advised Cunin with Gumyusenge and calls her “unstoppable,” says her innovation in the lab was remarkable — but not surprising.

“She didn’t have to be pushed into trying something new,” says Anikeeva, head of DMSE. “I would have higher and higher expectations, and she would consistently meet those higher and higher expectations.”

That drive continues in industry. Cunin now works at the Cambridge-based neurotechnology startup Axoft — just minutes from her former lab at MIT — researching soft electrodes that can be implanted in the brain. The electrodes detect electrical signals that can shed light on the brain’s many functions. “By understanding the brain better, we can eventually develop therapies and treatments that improve patient outcomes,” Cunin says.

Creative outlets

During her time at MIT, Cunin also made time for activities outside the lab, driven by the same curiosity that fueled her research. Committed to sharing her love of materials science and engineering, she was a leading member of the Polymer Graduate Student Association and organized several editions of MIT Polymer Day, a one-day symposium connecting students, faculty, and industry to showcase cutting-edge polymer research.

She also pursued creative outlets. After learning to use 3D graphics software Blender, Cunin illustrated some of the journal covers featuring her work.

She is also a diehard salsa fan and teaches the dance style a couple of times a week. Salsa’s social and collaborative forms appeal to Cunin, who enjoys sharing her passion, experimenting with choreography, and helping fellow dancers improve. “Salsa is fast — I love the mental challenge it brings. I also like that it exposes you to different aspects of the community; it pushes you out of your bubble,” she says.

Gumyusenge appreciates that Cunin made time for other pursuits throughout the grueling demands of a doctoral degree. “She’d work 14 hours a day in the lab, but also go do some hiking and take a break. I love that — it’s something that other PhD students seem to forget sometimes,” he says.

That balance reflects her determination and resolve. “Camille has never been shy about facing challenging research problems,” he says. “She had a research vision and was dedicated to learning the lessons she needed to get it all done. I learned to not get in her way because when Camille told you she would learn how to do something, she would.”

de MIT News https://ift.tt/RwTaKXE

Mapping the ocean with autonomous sensors

In late October 2025, Tropical Storm Melissa moved through the Caribbean Sea with moderate winds that didn’t get much attention. But on Oct. 25, aided by a patch of warm ocean, the storm rapidly intensified. By the time it made landfall in Jamaica, it was one of the strongest Atlantic hurricanes on record, uprooting trees, tearing the roofs from buildings, and causing catastrophic flooding and power outages.

Ravi Pappu SM ’95, PhD ’01 blames the surprise on our inability to gather high-quality ocean data.

“The storm intensified because of a small pool of hot water in the Caribbean Ocean that fed it energy,” Pappu explains. “These pools are everywhere. They can be hundreds of kilometers wide and are literally invisible to us. If we knew about that pool, we could say very precisely how the hurricane would intensify and better deal with it.”

Pappu thinks he has a way to solve that problem. He is the founder of Apeiron Labs, a company deploying low-cost autonomous ocean sensors to capture more data, in more places, and at a lower cost than is possible today. The company’s devices roam the ocean up to a quarter mile below the surface and continuously gather data on temperature, acoustics, salinity, and more, providing a real-time look at one of the planet’s last known mysteries. He says the sensors can do for the ocean what small, modular CubeSat satellites did for Earth observation from space.

When the devices are ready to be recharged, trackers make it easy to scoop them from the ocean surface. Pappu envisions the recovery process being done by autonomous boats in the future.

“Humanity needs ocean measurements, and we need them at a scale that has never been attempted before,” Pappu says. “It’s a massively hard problem. In the last century, oceanographers resigned themselves to calling it the century of undersampling. If we are successful, we will have a much more fine-grained understanding of our oceans and how they impact humans. That’s what drives us.”

Homework

Pappu came to MIT after completing a 10-year homework assignment. It started when he was a child in India in the 1980s, when he saw a hologram on the cover of National Geographic for the first time.

“I was so taken by it that I decided I needed to learn how to make those three-dimensional images,” Pappu recalls. “I learned what I could by reading books and papers. I didn’t know who invented the hologram until I read a book about MIT’s Media Lab. The book named the person who invented the rainbow hologram, so I wrote him a letter. I didn’t know his address, so I just wrote on the envelope, ‘Steve Benton, holography researcher, MIT, USA.’”

To Pappu’s surprise, the letter reached Benton, and the former Media Lab professor even wrote back with some further topics he needed to learn about.

Pappu never forgot that. He earned a bachelor’s degree in electrical engineering in India, then earned his master’s degree at Villanova University, taking all the optics classes he could.

“Eventually, about 10 years after I saw my first hologram, I wrote to Steve and I said, ‘I did all these things you asked me, now I want to study with you,’” Pappu says. “That’s how I got into MIT.”

Pappu studied under Benton for the next three years. He also studied under Professor Neil Gershenfeld as part of his PhD. Following graduation, Pappu and four classmates started ThingMagic, a consulting company that eventually sold RFID readers. ThingMagic was acquired 2010. Pappu returned to MIT for two years as a visiting scientist around the time of the acquisition.

Following that experience, Pappu worked at In-Q-Tel, an organization that invested in ThingMagic and other companies with potential to advance national security. It was there that Pappu realized how badly the world needed large-scale, inexpensive ocean sensing.

“All of the ocean sensing up to that point, and even today, was about making a really expensive thing that cost $20 million, goes to the bottom of the ocean, and stays there for five years,” Pappu says. “We needed things that are cheap and scalable to deploy wherever you need them for as long as you want.”

Pappu officially founded Apeiron Labs in 2022.

“What we’re focused on is figuring out how the ocean works,” Pappu says. “How warm is it? What is the pH? How salty is it? These things vary from place to place every 10 kilometers or so. It varies over time, and it varies by season. If we knew the details of the ocean with the same fidelity we have for the atmosphere, we would be able to tell exactly when and where hurricanes hit. It would mean less uncertainty.”

Apeiron’s ocean-sensing devices are each 3 feet long and about 20 pounds. They’re designed to be dropped off a boat or plane with biodegradable parachutes and stay in the ocean for six months. Each device continuously sends data to the cloud, is controllable through a cloud-based ocean operating system, and is accessible on a mobile phone.

“We lower the carbon footprint and cost of gathering ocean data because everything else needs a diesel ship — and a fully crewed ship costs $100,000 a day,” Rappu says. “By the time you collect the first data in the old model, you’ve already committed to a lot of money in addition to millions of dollars for the sensors. “

The company’s devices currently have two types of sensors: one for measuring salinity, temperature, and depth, and the other that uses a hydrophone to passively listen for things like submarines and whales.

That could be used to detect the low-frequency calls and clicks of endangered whales and other fish species. Currently, fishermen must look for whales manually with spotters on ships or planes. The data could also be used to improve weather forecasts, monitor noise from offshore energy projects, and track currents.

“Currents are determined by temperature and salinity, so if there’s an oil spill, our data could help determine where that spill is going,” Pappu says. “Or if you’re a fisherman, knowing where the water changes from warm to cold, which is where the fish hang out, is very useful.”

An ocean of possibilities

Apeiron Labs has worked with government defense agencies including the U.S. Navy over the last two years. The company has also tested its devices off the coast of California and in the Boston Harbor.

“The most important thing is, when we show people our approach and what we’ve demonstrated so far, they are no longer asking, ‘Can it be done?’ they’re asking, ‘What can we do with it?’” Pappu says. “Our customers have spent decades working in the ocean and they understand how novel these capabilities are.”

Of all the possibilities, improved storm forecasting could be the one Pappu is most excited about.

“Our mission is to lower the barriers to ocean data,” Pappu says. “The ocean is a huge determinant of weather, climate, and short-term forecasting. Despite our best efforts to predict the intensity of storms, sudden changes are still the norm, and much of that comes down to a lack of understanding of our oceans. If we were monitoring these things over long periods of time and finer spatial scales, we could see these storms coming much earlier with more certainty.”

de MIT News https://ift.tt/p1lxtk8