
Xiaowu Dai
I am an Assistant Professor in the Department of Statistics at UCLA since 7/2022.
Previously, I was a postdoc at UC Berkeley, working with Prof. Michael Jordan (CS, Stats), Prof. Lexin Li (Biostats), and Prof. Robert M. Anderson (Econ, Math). 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, statistics, or biostatistics research, please contact me.
Education
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University of Wisconsin-Madison, Madison, WI
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Ph.D. Statistics, 2019.
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M.S. Computer Sciences, 2018.
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M.S. Mathematics, 2015.
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Shanghai Jiao Tong University, Shanghai, China
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B.S. Mathematics, 2014, with First Class Honors.
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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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E-mail: dai@stat.ucla.edu
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I am also affiliated with the California Center for Population Research (CCPR) at UCLA and the Consortium of Data Analytics in Risk (CDAR) at UC Berkeley.
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My Family (Pictures).
Research Interests [Papers]
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Machine Learning and Economics: Stability, Fairness, Incentives.
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Statistical Inference in Dynamic Systems: Kernel ODE, ODE inference, SGD dynamics.
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High-Dimensional Nonparametric Inference: Double machine learning, Knockoffs, FDR control.
- Brain Imaging Analysis and Biomedical Research: Multi-modality analysis, Neuroimaging, Cardiovascular disease.