New and Incoming Faculty
Fifteen new faculty focused on computing and related areas have either recently started or have accepted a position and will start in the coming year. The cohort spans faculty lines located both within the college and in other academic departments across MIT. Among the new faculty members are 12 from the Department of Electrical Engineering and Computer Science (EECS), which jointly reports into the School of Engineering and the Schwarzman College of Computing.
*Indicates faculty in core computing positions located within the college.
Navid Azizan will join as an assistant professor in the Department of Mechanical Engineering and the Institute for Data, Systems, and Society in July 2021. His research interests broadly lie in machine learning, control theory, mathematical optimization, and network science, and his work focuses on the design and analysis of intelligent systems. He received his PhD in Computing and Mathematical Sciences at the California Institute of Technology and is currently a postdoctoral scholar in the Autonomous Systems Laboratory at Stanford University.
Anand Natarajan* joined EECS as an assistant professor in September 2020 and is also a member of CSAIL. His research is in theoretical quantum information. He is particularly interested in nonlocality, quantum complexity theory, and semidefinite programming hierarchies.
YuFeng (Kevin) Chen, the D. Reid Weedon Jr. ’41 Career Development Assistant Professor, joined EECS in January 2020 as part of the Electrical Engineering (EE) Faculty and the Artificial Intelligence and Decision Making (AI+D) Faculty. He is also a member of the MIT Research Laboratory of Electronics and the MIT Microsystems Technology Laboratories. His work focuses on developing insect-scale robots capable of locomotion and transition between air, land, and water.
Jelena Notaros joined MIT as an assistant professor in EECS, a principal investigator in the MIT Research Laboratory of Electronics, and a core faculty member of the MIT Microsystems Technology Laboratories in May 2020. Her research interests are in integrated silicon photonics devices, systems, and applications, with an emphasis on integrated optical phased arrays for LiDAR (light detection and ranging) and augmented reality.
Connor W. Coley, the Henri Slezynger (1957) Career Development Assistant Professor, joined MIT in July 2020. He is based in the Department of Chemistry. His research interests are in the areas of autonomous discovery, machine learning, laboratory automation, chemical synthesis, molecular design, and drug discovery.
Jonathan Ragan-Kelley*, the Edgerton Career Development Assistant Professor in EECS, joined the department in January 2020. He is also a member of CSAIL. His work encompasses high-efficiency visual computing, including systems, compilers, and architectures for image processing and vision, 3-D graphics, and machine learning.
Henry Corrigan-Gibbs* joined EECS as an assistant professor in July 2020. He is also a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL). His research interests are in computer security, applied cryptography, and online privacy. Prior to MIT, his projects included new techniques for reducing the computational cost of private information retrieval and a system for the privacy-preserving collection of aggregate statistics.
Ashia Wilson* will join EECS as assistant professor in January 2021 and will be a member of the Laboratory for Information and Decision Systems. Her research interests are in providing rigorous guarantees for algorithmic performance and in developing frameworks for studying issues of fairness and governance in machine learning.
Marzyeh Ghassemi will join EECS as an assistant professor in July 2021 and will also be affiliated with the Institute for Medical Engineering and Science and CSAIL. Her research focuses on machine learning in health care. She is working on clinical risk prediction with semi-supervised learning; optimal treatment discovery using expert demonstrations; and noninvasive patient phenotyping for behavioral conditions.
Mengjia Yan*, the Homer A. Burnell Career Development Professor, joined EECS as an assistant professor in November 2019. She is also a member of CSAIL. Her research focuses on hardware support for security, and she is interested in developing efficient defense and detection approaches against covert side-channel attacks.
Dylan Hadfield-Menell* will join EECS as an assistant professor in July 2021 and will also be a member of CSAIL. His research focuses on algorithms that facilitate human-compatible artificial intelligence. He aims to develop frameworks that account for uncertainty about the objective being optimized. He is currently a fourth-year PhD student at the University of California (UC), Berkeley.
Guangyu Robert Yang will join MIT as an assistant professor in July 2021. He will be based in the Department of Brain and Cognitive Sciences and will be assuming a shared position with the SCC in AI+D. His interests are in understanding the brain and building neural networks. He is currently a postdoctoral researcher with the Center for Theoretical Neuroscience at Columbia University.
Sam Hopkins* will join EECS as an assistant professor in January 2022 and will also be a member of CSAIL. His research focuses on optimization, especially convex programming and its applications to algorithmic statistics. He is currently a Miller Postdoctoral Fellow in electrical engineering and computer science at UC Berkeley.
Sixian You will join EECS as an assistant professor in January 2021. She will be part of the EE Faculty. Her primary research interest is in developing innovative optical imaging solutions for biomedicine. She is particularly interested in next-generation, label-free multiphoton imaging technologies to study the tumor microenvironment.
Yoon Kim* will join EECS as an assistant professor in 2021 and will also be a member of CSAIL. He is currently a research scientist in the MIT-IBM Watson AI Lab. His work is at the intersection of natural language processing and machine learning. He completed his PhD in computer science at Harvard University.