Wen Wei’s research focuses on developing statistical methods for inferring causal effects in applications motivated by behavioral and social sciences. His primary research interests are in mediation analyses for multiple mediators, and randomization inferential-based methods. He has given invited talks at biostatistics, epidemiology, machine learning, statistics, and psychology conferences and seminars.
Wen Wei is a postdoctoral research fellow in the Department of Data Analysis at Ghent University in Belgium. He was previously a Biostatistics postdoctoral research fellow at the University of North Carolina Chapel Hill. He received his PhD in Statistics from University of Washington, and MA in Statistics from Harvard University.