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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 the Center for Quantum Science and Engineering (CQSE) and the California Center for Population Research (CCPR). 

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My research interest focuses on the area of economics and machine learning, which blends game theory with online learning and provides statistical models for microeconomics. Another area of focus is statistical machine learning, especially in dynamical models, kernel-based learning,  and uncertainty quantification. I am also interested in biostatistics applications, including neuroimaging, diabetes, and kidney exchanges.

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

Education â€‹â€‹

  • University of California, Berkeley

    • Postdoc in Computer Sciences and Economics, Berkeley AI Research (BAIR) Lab, 2019-2022; Advisor: Michael Jordan. I also worked 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, with distinction, 2014; Advisor: Ya-Guang Wang. B.A. Economics, double degree, 2014.

Research Interests [Papers]​​

Editorial Service​

Contact​

  • 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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