Hanying Wei

Hanying Wei is a Ph.D. Candidate in the Department of Political Science at Columbia University, specializing in Quantitative Methodology and Computational Social Science. She also holds an M.A. in Statistics from Columbia University (expected), an M.Phil. in Social Science from Hong Kong University of Science and Technology, and an M.Eng. in Computer Technology from Peking University. Her research focuses on applying large language models and computational methods to social science problems, including design-based supervised learning for imperfect surrogates and analyzing political imagery for public opinion. Prior to her academic career, she worked as a Software Engineer at Veritas and held internships at Mobvoi and Microsoft. She has received multiple fellowships and awards, including the Yu San Wa Taiwan Fellowship, Dracopoulos Fellow, and the Gosnell Prize.