Runshan Fu is a Ph.D. student at the Heinz College of Information Systems and Public Policy.
Runshan Fu is a Ph.D. candidate in Information Systems and Management at Heinz College, Carnegie Mellon University. Her research studies the social impacts of machine learning (ML) algorithms, with a focus on algorithmic bias. She uses machine learning, analytical modeling and structural econometric modeling methods to study the economic implications of using machine learning in decision making and the unintended disparate impacts of ML-driven decisions across demographic groups. Prior to joining Carnegie Mellon University, she received her bachelor's degree from Shanghai University of Finance and Economics.