School of Engineering welcomes new faculty
Original Article: MIT News
The School of Engineering is welcoming 11 new members of its faculty across six of its academic departments and institutes. This new cohort of faculty members, who have either recently started their roles at MIT or will start their new roles within the next year, conduct research across a diverse range of disciplines. Their areas of expertise include semiconducting materials, human health in space, physics-informed deep learning, materials for nuclear energy, and using machine learning to address challenges in agriculture and climate change, to name a few.
“I warmly welcome this group of incredibly talented new faculty to our engineering community at MIT,” says Anantha Chandrakasan, dean of the MIT School of Engineering and Vannevar Bush Professor of Electrical Engineering and Computer Science. “The work each of them is doing holds tremendous potential to drive solutions for many of the challenges our world faces. Their contributions as researchers and educators will have lasting impact on the school community. I look forward to seeing them thrive as they settle into their new roles.”
A number of these new faculty members conduct research at the intersection of computing and other engineering fields. New faculty members Sara Beery, Priya Donti, Ericmoore Jossou, and Sherrie Wang were hired as part of a shared faculty search focused on computing for the health of the planet with the MIT Stephen A. Schwarzman College of Computing. Among the new faculty members, eight total have positions with both the School of Engineering and the college: six new faculty from the Department of Electrical Engineering and Computer Science (EECS), which reports to both the school and college; one shared between the Department of Mechanical Engineering and the Institute for Data, Systems, and Society, which reports to the college; and one shared between the Department of Nuclear Science and Engineering and EECS.
Sherrie Wang will join MIT as an assistant professor in a shared position between the Department of Mechanical Engineering and the Institute for Data, Systems, and Society in April 2023. She will serve as the Brit (1961) & Alex (1949) d’Arbeloff Career Development Professor in Mechanical Engineering. Her research uses novel data and computational algorithms to monitor our planet and enable sustainable development. Her primary application areas are improving agricultural management and mitigating climate change, especially in low- or middle-income regions of the world. She frequently works with satellite imagery, crowdsourced data, and other spatial data. Due to the scarcity of ground truth data in many applications and noisiness of real-world data in general, her methodological work focuses on developing machine learning tools that work well within these constraints. Prior to MIT, Wang was a Ciriacy-Wantrup Postdoctoral Fellow at the University of California at Berkeley, hosted by the Global Policy Lab. She earned a BA in biomedical engineering from Harvard University and an MS and PhD in computational and mathematical engineering from Stanford University.