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

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My research interest focuses on the area of economics and machine learning, blending game theory with online learning and developing predictive machine learning models in economic contexts. Another area of focus is statistical machine learning, especially in dynamical models, kernel-based learning, and uncertainty quantification, with applications to 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.

Xiaowu Dai (戴晓武)

Education â€‹â€‹

  • 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]​​

Editorial Service​

Contact​

                   University of California

                   Los Angeles, CA 90095-1554

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© 2025 Xiaowu Dai
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