Xiaowu Dai

I am an Assistant Professor in the Department of Statistics at UCLA since 7/2022.

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Previously, I was a postdoc at UC Berkeley, working with Prof. Michael Jordan (CS, Stats), Prof. Lexin Li (Biostats), and Prof. Robert M. Anderson (Econ, Math). 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 Prof. 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, Madison, WI

  • Ph.D. Statistics, 2019.

  • M.S. Computer Sciences, 2018.

  • ​M.S. Mathematics, 2015.

• Shanghai Jiao Tong University, Shanghai, China

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

Contact​

• Office: 8917 Math Sciences Bldg

• Mail: 8125 Math Sciences Bldg #951554

                University of California

                Los Angeles, CA 90095-1554​

• E-mail: dai@stat.ucla.edu

• I am also affiliated with the California Center for Population Research (CCPR) at UCLA and the Consortium of Data Analytics in Risk (CDAR) at UC Berkeley.

• My Family (Pictures).

Research Interests [Papers]​​

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

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

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

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