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Sarah is a recent PhD from MIT's Institute for Data, Systems, and Society. She is now a Postdoctoral Associate at MIT's Department of Civil and Environmental Engineering. Her research focuses on planning under uncertainty in water resource systems. In particular, her work investigates the potential for Bayesian learning to enable flexible infrastructure design and adaptive policymaking. She is currently using remote sensing analysis to assess the vulnerability of food systems in sub-Saharan Africa and guide climate change adaptation. 

Before starting her PhD, Sarah worked as a researcher and consultant on issues at the intersection of water, energy, and environment at IHS CERA. She was formerly the Director of Product Development at the startup Sourcewater, where she led the development of the first online marketplace for water and wastewater for energy companies. Sarah has an S.M. in Technology and Policy from MIT and a B.A. in Physics and Economics from the University of Pennsylvania.

In her free time, Sarah enjoys rock climbing, playing the violin, baking bread, and reading novels. She is originally from Baltimore, MD.