Three Women Who Are Joining the School of Engineering Faculty at MIT

The School of Engineering at the Massachusetts Institute of Technology has announced the hiring of three women faculty.

Sara Beery will join the department of electrical engineering and computer science as an assistant professor in September. She is currently a visiting faculty researcher at Google Research. Dr. Beery’s work focuses on building computer vision methods that enable global-scale environmental and biodiversity monitoring across data modalities and tackling real-world challenges, including strong spatiotemporal correlations, imperfect data quality, fine-grained categories, and long-tailed distributions. Dr. Beery earned a bachelor’s degree in electrical engineering and mathematics from Seattle University and a Ph.D. in computing and mathematical sciences from the California Institute of Technology.

Priya Donti will join the department of electrical engineering and computer science as an assistant professor in September. Currently a part of the Jacobs Technion-Cornell Institute’s Runway Startup Postdoc Program, she is working to build Climate Change AI, a global nonprofit that she co-founded in 2019. Her work focuses on physics-informed deep learning for forecasting, optimization, and control in high-renewables power grids. Dr. Donti earned a bachelor’s degree in computer science and mathematics from Harvey Mudd College in Claremont, California, and a Ph.D. in computer science and public policy from Carnegie Mellon University in Pittsburgh.

Sherrie Wang joined the MIT faculty in April as an assistant professor in a shared position between the department of mechanical engineering and the Institute for Data, Systems, and Society. Her research uses novel data and computational algorithms to monitor the planet and enable sustainable development. Prior to MIT, Dr. Wang was a Ciriacy-Wantrup Postdoctoral Fellow at the University of California at Berkeley. She earned a bachelor’s degree in biomedical engineering from Harvard University and a master’s degree and a Ph.D. in computational and mathematical engineering from Stanford University.