Guangying Chen

Guangying Chen's research primarily focuses on two areas. The first examines the interactions between recommender systems and social media user behavior (e.g., content consumption, production, and privacy protection) using field experiments and structural models. The second applies statistical and machine learning approaches to develop novel causal inference methods that address identification challenges in business research, such as instrumental variable estimation in randomized encouragement designs when the exclusion restriction is violated.

Guangying holds a Ph.D. in Marketing from the Olin Business School at Washington University in St. Louis. Before WashU, she earned an M.A. in Economics from Tsinghua University and a B.A. in Economics as well as a B.S. in Statistics from Peking University.