Sherrie Wang

Sherrie Wang is the Brit (1961) and Alex (1949) d’Arbeloff Career Development Professor in Engineering Design and Assistant Professor in a shared position between the Department of Mechanical Engineering in the MIT School of Engineering and the Institute for Data, Systems, and Society in the MIT Schwarzman College of Computing.

Her research focuses on utilization of machine learning for Earth observation data. Her primary application areas are improving agricultural management and forecasting climate phenomena, especially in low- or middle-income regions of the world. Her research uses novel data and computational algorithms to monitor our planet and enable sustainable development. 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.