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Xiaowu Dai (戴晓武)

I am an Assistant Professor at the Department of Statistics and Data Science and the Department of Biostatistics, UCLA, since 7/2022. I am affiliated with the California Center for Population Research at UCLA, and the Consortium of Data Analytics in Risk (based in the Economics Department) at UC Berkeley

My research interest is on the foundation of machine learning and game theory for interconnected systems, focusing on statistical modeling and inference of complex, dynamic, high-dimensional data structures and networks, from interactions between humans in a society to interactions of brain regions of interest. Applications include economics and machine learning, and neuroimaging analysis. 

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


  • University of California, Berkeley

    • Postdoc in Computer Science and Economics, 2019-2022; Advisor: Michael JordanI also worked with Lexin Li and Robert 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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