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    School of Engineering welcomes new faculty | Ztoog

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    The School of Engineering welcomes 15 new faculty members throughout six of its tutorial departments. This new cohort of faculty members, who’ve both just lately began their roles at MIT or will begin inside the subsequent 12 months, conduct analysis throughout a various vary of disciplines.

    Many of these new faculty specialise in analysis that intersects with a number of fields. In addition to positions within the School of Engineering, a quantity of these faculty have positions at different models throughout MIT. Faculty with appointments within the Department of Electrical Engineering and Computer Science (EECS) report into each the School of Engineering and the MIT Stephen A. Schwarzman College of Computing. This 12 months, new faculty even have joint appointments between the School of Engineering and the School of Humanities, Arts, and Social Sciences and the School of Science.

    “I am delighted to welcome this cohort of talented new faculty to the School of Engineering,” says Anantha Chandrakasan, chief innovation and technique officer, dean of engineering, and Vannevar Bush Professor of Electrical Engineering and Computer Science. “I am particularly struck by the interdisciplinary approach many of these new faculty take in their research. They are working in areas that are poised to have tremendous impact. I look forward to seeing them grow as researchers and educators.”

    The new engineering faculty embody:

    Stephen Bates joined the Department of Electrical Engineering and Computer Science as an assistant professor in September 2023. He can be a member of the Laboratory for Information and Decision Systems (LIDS). Bates makes use of knowledge and AI for dependable decision-making within the presence of uncertainty. In specific, he develops instruments for statistical inference with AI fashions, knowledge impacted by strategic habits, and settings with distribution shift. Bates additionally works on functions in life sciences and sustainability. He beforehand labored as a postdoc within the Statistics and EECS departments on the University of California at Berkeley (UC Berkeley). Bates obtained a BS in statistics and arithmetic at Harvard University and a PhD from Stanford University.

    Abigail Bodner joined the Department of EECS and Department of Earth, Atmospheric and Planetary Sciences as an assistant professor in January. She can be a member of the LIDS. Bodner’s analysis pursuits span local weather, bodily oceanography, geophysical fluid dynamics, and turbulence. Previously, she labored as a Simons Junior Fellow on the Courant Institute of Mathematical Sciences at New York University. Bodner obtained her BS in geophysics and arithmetic and MS in geophysics from Tel Aviv University, and her SM in utilized arithmetic and PhD from Brown University.

    Andreea Bobu ’17 will be part of the Department of Aeronautics and Astronautics as an assistant professor in July. Her analysis sits on the intersection of robotics, mathematical human modeling, and deep studying. Previously, she was a analysis scientist on the Boston Dynamics AI Institute, specializing in how robots and people can effectively arrive at shared representations of their duties for extra seamless and dependable interactions. Bobu earned a BS in pc science and engineering from MIT and a PhD in electrical engineering and pc science from UC Berkeley.

    Suraj Cheema will be part of the Department of Materials Science and Engineering, with a joint appointment within the Department of EECS, as an assistant professor in July. His analysis explores atomic-scale engineering of digital supplies to sort out challenges associated to vitality consumption, storage, and technology, aiming for extra sustainable microelectronics. This spans computing and vitality applied sciences by way of built-in ferroelectric units. He beforehand labored as a postdoc at UC Berkeley. Cheema earned a BS in utilized physics and utilized arithmetic from Columbia University and a PhD in supplies science and engineering from UC Berkeley.

    Samantha Coday joins the Department of EECS as an assistant professor in July. She may also be a member of the MIT Research Laboratory of Electronics. Her analysis pursuits embody ultra-dense energy converters enabling renewable vitality integration, hybrid electrical plane and future house exploration. To allow high-performance converters for these important functions her analysis focuses on the optimization, design, and management of hybrid switched-capacitor converters. Coday earned a BS in electrical engineering and arithmetic from Southern Methodist University and an MS and a PhD in electrical engineering and pc science from UC Berkeley.

    Mitchell Gordon will be part of the Department of EECS as an assistant professor in July. He may also be a member of the MIT Computer Science and Artificial Intelligence Laboratory. In his analysis, Gordon designs interactive methods and analysis approaches that bridge rules of human-computer interplay with the realities of machine studying. He at present works as a postdoc on the University of Washington. Gordon obtained a BS from the University of Rochester, and MS and PhD from Stanford University, all in pc science.

    Kaiming He joined the Department of EECS as an affiliate professor in February. He may also be a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). His analysis pursuits cowl a variety of matters in pc imaginative and prescient and deep studying. He is at present centered on constructing pc fashions that may be taught representations and develop intelligence from and for the advanced world. Long time period, he hopes to reinforce human intelligence with improved synthetic intelligence. Before becoming a member of MIT, He was a analysis scientist at Facebook AI. He earned a BS from Tsinghua University and a PhD from the Chinese University of Hong Kong.

    Anna Huang SM ’08 will be part of the departments of EECS and Music and Theater Arts as assistant professor in September. She will assist develop graduate programming centered on music know-how. Previously, she spent eight years with Magenta at Google Brain and DeepMind, spearheading efforts in generative modeling, reinforcement studying, and human-computer interplay to help human-AI partnerships in music-making. She is the creator of Music Transformer and Coconet (which powered the Bach Google Doodle). She was a decide and organizer for the AI Song Contest. Anna holds a Canada CIFAR AI Chair at Mila, a BM in music composition, and BS in pc science from the University of Southern California, an MS from the MIT Media Lab, and a PhD from Harvard University.

    Yael Kalai PhD ’06 will be part of the Department of EECS as a professor in September. She can be a member of CSAIL. Her analysis pursuits embody cryptography, the speculation of computation, and safety and privateness. Kalai at present focuses on each the theoretical and real-world functions of cryptography, together with work on succinct and simply verifiable non-interactive proofs. She obtained her bachelor’s diploma from the Hebrew University of Jerusalem, a grasp’s diploma on the Weizmann Institute of Science, and a PhD from MIT.

    Sendhil Mullainathan will be part of the departments of EECS and Economics as a professor in July. His analysis makes use of machine studying to know advanced issues in human habits, social coverage, and medication. Previously, Mullainathan spent 5 years at MIT earlier than becoming a member of the faculty at Harvard in 2004, after which the University of Chicago in 2018. He obtained his BA in pc science, arithmetic, and economics from Cornell University and his PhD from Harvard University.

    Alex Rives will be part of the Department of EECS as an assistant professor in September, with a core membership within the Broad Institute of MIT and Harvard. In his analysis, Rives is targeted on AI for scientific understanding, discovery, and design for biology. Rives labored with Meta as a New York University graduate pupil, the place he based and led the Evolutionary Scale Modeling workforce that developed massive language fashions for proteins. Rives obtained his BS in philosophy and biology from Yale University and is finishing his PhD in pc science at NYU.

    Sungho Shin will be part of the Department of Chemical Engineering as an assistant professor in July. His analysis pursuits embody management idea, optimization algorithms, high-performance computing, and their functions to decision-making in advanced methods, akin to vitality infrastructures. Shin is a postdoc on the Mathematics and Computer Science Division at Argonne National Laboratory. He obtained a BS in arithmetic and chemical engineering from Seoul National University and a PhD in chemical engineering from the University of Wisconsin-Madison.

    Jessica Stark joined the Department of Biological Engineering as an assistant professor in January. In her analysis, Stark is growing applied sciences to appreciate the largely untapped potential of cell-surface sugars, known as glycans, for immunological discovery and immunotherapy. Previously, Stark was an American Cancer Society postdoc at Stanford University. She earned a BS in chemical and biomolecular engineering from Cornell University and a PhD in chemical and organic engineering at Northwestern University.

    Thomas John “T.J.” Wallin joined the Department of Materials Science and Engineering as an assistant professor in January. As a researcher, Wallin’s pursuits lay in superior manufacturing of useful comfortable matter, with an emphasis on comfortable wearable applied sciences and their functions in human-computer interfaces. Previously, he was a analysis scientist at Meta’s Reality Labs Research working of their haptic interplay workforce. Wallin earned a BS in physics and chemistry from the College of William and Mary, and an MS and PhD in supplies science and engineering from Cornell University.

    Gioele Zardini joined the Department of Civil and Environmental Engineering as an assistant professor in September. He may also be part of LIDS and the Institute for Data, Systems, and Society. Driven by societal challenges, Zardini’s analysis pursuits embody the co-design of sociotechnical methods, compositionality in engineering, utilized class idea, determination and management, optimization, and recreation idea, with society-critical functions to clever transportation methods, autonomy, and sophisticated networks and infrastructures. He obtained his BS, MS, and PhD in mechanical engineering with a concentrate on robotics, methods, and management from ETH Zurich, and hung out at MIT, Stanford University, and Motional.

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