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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, UCLAI am also affiliated with California Center for Population Research (CCPR) and Center for Quantum Science and Engineering (CQSE) at UCLA, as well as Consortium of Data Analytics in Risk (CDAR, 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 inference of complex, dynamic, high-dimensional data structures and networks, from interactions between humans in a society to interactions between regions in a brain. 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.

Education 

  • University of California, Berkeley

    • Postdoc in Computer Sciences and Economics, 2019-2022; Advisor: Michael JordanI 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, First Class Honors, 2014; Advisor: Ya-Guang Wang.

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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