She studies various topics in microeconomics with a focus on models of information and how individuals interact in dynamic settings. Her research explores questions related to learning under model misspecification, discrimination, information aggregation, moral hazard and the econometrics of randomized experiments. The work on discrimination has both theoretical and empirical components, and builds on her research on learning under model misspecification. Her work in the other four areas is theoretical, and includes applications to designing rating systems, information campaigns and committees, and providing incentives in online labor markets.