SU Liangjun

SU Liangjun is the C.V. Starr Chair Professor in the Department of Economics at Tsinghua University's School of Economics and Management. He holds a Ph.D. in Economics from the University of California, San Diego, and has held academic positions at Peking University and Singapore Management University. His research focuses on theoretical econometrics, including nonparametric econometrics, panel data analysis, high-dimensional econometrics, big data, and machine learning. He has published extensively in top-tier journals and serves as Editor-in-Chief of Econometric Theory. His work has been cited in several influential textbooks and he has received multiple research grants and awards, including the Tsinghua University Research Excellence Award.

Liangjun Su is a C.V. Starr Chair Professor of Economics at the School of Economics and Management, Tsinghua University. His research focuses on econometrics, econometric theory, nonparametric econometrics, panel data, and machine learning. Su's work explores advanced econometric methods for analyzing complex data structures, including panel data models with interactive fixed effects, time-varying factor models, and nonparametric tests for conditional independence. His research also addresses estimation and testing in dynamic panel data models, spatial autoregressive models, and semiparametric GMM estimation. Su's contributions emphasize the integration of machine learning techniques with traditional econometric frameworks to improve inference and model robustness in high-dimensional settings.