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Xiaowu Dai (戴晓武)

I am a tenure-track Assistant Professor at the Department of Statistics and Data Science and the Department of Biostatistics, UCLA. I am also affiliated with Consortium of Data Analytics in Risk (CDAR), Center for Quantum Science and Engineering (CQSE), and California Center for Population Research (CCPR). 

My research interest lies in statistical inference and decision-making under uncertainty. One focus of my research is the area of economics and machine learning, which blends game theory and online learning and provides statistical models for microeconomics. Another area of focus has been nonparametric inference, including dynamical systems, where I am interested in learning differential equations from observational data, and frequentist nonparametrics, where I have focused on kernel machines. I am also interested in biostatistics applications, including Alzheimer's disease, diabetes, and kidney exchanges.

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


  • University of California, Berkeley

    • Postdoc in Computer Sciences and Economics, Berkeley AI Research (BAIR) Lab, 2019-2022; Advisor: Michael Jordan, and also collaborated with Lexin Li and Robert M. Anderson. 

  • University of Wisconsin-Madison

    • Ph.D. Statistics, 2019; Advisor: Grace WahbaM.S. Computer Sciences, 2018; M.S. Mathematics, 2015.

  • Shanghai Jiao Tong University

    • B.S. Mathematics, First Class Honors, 2014; Advisor: Ya-Guang Wang.

Research Interests [Papers]

Editorial Service


  • Office:  8917 Math Sciences Bldg

  • Phone:  424-259-5110

  • Mail:  8125 Math Sciences Bldg #951554

                   University of California

                   Los Angeles, CA 90095-1554

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