Xiaowu Dai (戴晓武)
I am an Assistant Professor in the Department of Statistics and Data Science, and the Department of Biostatistics, at the University of California, Los Angeles. I am also affiliated with California Center for Population Research (CCPR) and Consortium of Data Analytics in Risk (CDAR).
Previously, I was a postdoc at UC Berkeley from 2019-2022, advised by Prof. Michael I. Jordan, and also worked with Prof. Lexin Li (Biostats) and Prof. Robert M. Anderson (Econ). I was a member of CDAR, Berkeley AI Research Lab, and Simons Institute for the Theory of Computing.
Recruiting: UCLA graduate students and visitors interested in machine learning, mechanism design, or biostatistics research, feel free to contact me.
High-Dimensional Nonparametric Statistics: Double machine learning, Kernel method, FDR control.
Brain Imaging Analysis and Biomedical Research: Neuroimaging, Cardiovascular disease, Kidney exchanges.