Keynote #1 Sherrie Wang (MIT)

Sherrie Wang is an Assistant Professor at MIT 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 our planet and enable sustainable development. Her main application areas are improving agricultural management and mitigating climate change, and she frequently works with satellite imagery, crowdsourced data, and other spatial data. Due to the scarcity of ground truth in many applications and the noisiness of real-world data in general, her methodological work focuses on developing machine learning tools that work within these constraints. Prior to MIT, Sherrie was a Ciriacy-Wantrup Postdoctoral Fellow at UC Berkeley, and she received her PhD in Computational and Mathematical Engineering from Stanford University.