Wei Li

Wei Li is an Assistant Professor in the Department of Mathematics at Syracuse University, affiliated with the Applied Statistics program. His research focuses on machine learning, causal inference, nonparametric and semiparametric models. He holds a Ph.D. in Statistics from North Carolina State University (2018), ABD in Economics from Indiana University (2015), and an M.A. in Mathematics from Indiana University (2013).

• Ph.D., Statistics, North Carolina State University (2018)
• ABD, Economics, Indiana University (2015)
• M.A., Mathematics, Indiana University (2013)

His recent work emphasizes causal effect estimation, instrumental variable methods, Bayesian nonparametrics, and robust missing data techniques. His publications appear in journals like Biometrical Journal and Journal of Econometrics. He has served on the Ad Hoc Hiring Committee (2023–2024). Teaching includes advanced statistics courses such as Mathematical Statistics and Statistical Machine Learning.