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Annie Liang is an associate professor in the Department of Economics at Northwestern University. Her academic journey began with a PhD from Harvard University in 2016. Professor Liang's research straddles the realms of economic theory and machine learning, specifically concentrating on the welfare implications of machine learning algorithms. She employs machine learning techniques to enhance economic modeling and investigates dynamic information acquisition processes. Through her work, she aims to integrate sophisticated analytical methods from machine learning into traditional economic frameworks, thereby advancing the understanding of economic behavior and decision-making. Liang's contributions are critical in bridging the gap between theoretical economics and practical applications of data-driven methodologies.
Standard PhD requirements for TGS departments including Chemistry, Physics, and Sociology.