My research focuses on factor analysis in high-dimensional datasets and large panel models with interactive fixed effects. My research interests include developing and applying new tools for economists using big data, machine learning, and forecasting. During my Ph.D. study at UConn, I have taught undergraduate courses in econometrics and time series forecasting. My teaching interests are quantitative methods for economics and business, machine learning, and open-source programming (i.e., R/Python).
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Ph.D. in Economics, Expected July 2022
University of Connecticut
M.S. in Economics, Expected June 2022
University of Connecticut
M.A. in Economics, 2017
Syracuse University
B.A. in Economics, 2013
Zhejiang Ocean University