Sherrie Wang

Starting Spring 2023, I will be an Assistant Professor at MIT in the Department of Mechanical Engineering and IDSS.

My research uses novel data and computational algorithms to monitor our planet and enable sustainable development. My focus is on improving agricultural management and mitigating climate change, especially in low- or middle-income regions of the world. To this end, I frequently use satellite imagery, crowdsourced data, LiDAR, and other spatial data. Due to the scarcity of ground truth data in these regions and the noisiness of real-world data in general, my methodological work is geared toward developing machine learning methods that work well with these constraints.

Currently, I am a Ciriacy-Wantrup Postdoctoral Fellow at UC Berkeley, hosted by Solomon Hsiang and the Global Policy Lab. In 2021, I obtained my PhD in Computational and Mathematical Engineering from Stanford University, where I was advised by David Lobell and benefited from mentors at the Center on Food Security and the Environment and the Sustainability and AI Lab.