Xiaowu Dai
E-mail: dai@stat.ucla.edu
I am a tenure-track Assistant Professor in the Department of Statistics and Data Science and Department of Biostatistics at University of California, Los Angeles.
Previously, I was a postdoc at UC Berkeley from 2019-2022, advised by Prof. Michael I. Jordan, and also collaborated with Prof. Lexin Li (Biostats) and Prof. Robert M. Anderson (Econ). I was a member of the Berkeley AI Research Lab and Consortium of Data Analytics in Risk, and had the pleasure of visiting the Simons Institute for the Theory of Computing. Before that, I received my Ph.D. in Statistics from UW-Madison, advised by Prof. Grace Wahba.
Recruiting: UCLA graduate students and visitors interested in machine learning, mechanism design, or biostatistics research, feel free to contact me.
Education
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University of Wisconsin-Madison
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Ph.D. Statistics, 2019, Advisor: Grace Wahba; M.S. Computer Sciences, 2018; M.S. Mathematics, 2015.
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Shanghai Jiao Tong University
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B.S. Mathematics, 2014, with First Class Honors, Advisor: Ya-Guang Wang.
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Affiliations
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Faculty Affiliate, California Center for Population Research, UCLA, 2022-
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Affiliated Researcher, Consortium of Data Analytics in Risk, UC Berkeley, 2022-
Research Interests [Papers]
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Machine Learning and Economics: Matching markets, Mechanism design, Incentives.
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Statistical Inference in Dynamical Systems: Kernel ODE, ODE inference, SGD dynamics.
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High-Dimensional Nonparametric Statistics: Double machine learning, Knockoffs, FDR control.
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Brain Imaging Analysis and Biomedical Research: Neuroimaging, Cardiovascular disease, Kidney exchanges.
Editorial Service
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Associate Editor, Stat, 2022-
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Editorial Board Reviewer, Journal of Machine Learning Research, 2022-
Contact
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Office: 8917 Math Sciences Bldg
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Mail: 8125 Math Sciences Bldg #951554
University of California
Los Angeles, CA 90095-1554
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My Family (Pictures).