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

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 and AI agentic contexts. Another area of focus is statistical machine learning, especially in dynamical models, uncertainty quantification, and kernel-based learning, with applications to LLMs, neuroimaging, diabetes, and kidney exchanges.

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)

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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© 2026 Xiaowu Dai
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