Xiaowu Dai

E-mail: dai@stat.ucla.edu

I am a tenure-track Assistant Professor in the Department of Statistics at UCLA.

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Previously, I was a postdoc at UC Berkeley from 2019-2022, advised by Michael I. Jordan. I also worked with Lexin Li (Biostats) and Robert M. Anderson (Econ). I was a member of the Berkeley AI Research Lab and Consortium of Data Analytics in Risk, and had the pleasure of visiting the Simons Institute for the Theory of Computing. Before that, I received my Ph.D. in Statistics from UW-Madison, advised by Grace Wahba.

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Recruiting: UCLA graduate students and visitors interested in machine learning, mechanism design, statistics, or biostatistics research, please contact me.

Education​

• University of Wisconsin-Madison

  • Ph.D. Statistics, 2019; M.S. Computer Sciences, 2018; ​M.S. Mathematics, 2015.

• Shanghai Jiao Tong University

  • B.S. Mathematics, 2014, with First Class Honors.

Affiliations​

• Faculty Affiliate, California Center for Population Research, UCLA.

• Affiliated Researcher, Consortium of Data Analytics in Risk, UC Berkeley.

Research Interests [Papers]​​

• Machine Learning and Economics: Stability, Fairness, Incentives.

• Statistical Inference in Dynamical Systems: Kernel ODE, ODE inference, SGD dynamics. 

• High-Dimensional Nonparametric Statistics: Double machine learning, Knockoffs, FDR control.

• Brain Imaging Analysis and Biomedical Research: Multi-modality analysis, Neuroimaging, Cardiovascular disease. 

Editorial Service​

• Associate Editor, Stat, 2022-

• Editorial Board Reviewer, Journal of Machine Learning Research, 2022-

Contact​

• Office: 8917 Math Sciences Bldg

• Mail: 8125 Math Sciences Bldg #951554

                University of California

                Los Angeles, CA 90095-1554​​

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• My Family (Pictures).