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Xiaowu Dai (戴晓武)

I am a tenure-track Assistant Professor at Department of Statistics and Data Science (primary) and Department of Biostatistics, UCLA

My research focuses on the area of economics and machine learning, blending game theory with online learning and developing predictive models with uncertainty quantification in economic and LLM contexts. Another area of focus is statistical machine learning, especially in dynamical models, multimodal learning, and kernel methods, with applications to neuroimaging, diabetes, and kidney exchanges. I currently serve as an Associate Editor for JASA T&M and Stat

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

E-mail: daix@ucla.edu

Education 

  • University of California, Berkeley

  • 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]

Services

Contact

                   University of California

                   Los Angeles, CA 90095-1554

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