Sherrie Wang
d'Arbeloff Career Development Assistant Professor, Mechanical Engineering and IDSS
Research Interests
Sherrie Wang’s research uses novel data and computational algorithms to monitor our planet and enable sustainable development. Her focus is on improving agricultural management and mitigating climate change, especially in low- or middle-income regions of the world. To this end, she frequently uses 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, her methodological work is geared toward developing machine learning methods that work well with these constraints.