Xiaowu Dai (戴晓武)
E-mail: dai@stat.ucla.edu
I am an Assistant Professor in the Department of Statistics and Data Science, and the Department of Biostatistics, at the University of California, Los Angeles. I am also affiliated with California Center for Population Research (CCPR) and Consortium of Data Analytics in Risk (CDAR).
Previously, I was a postdoc at UC Berkeley from 2019-2022, advised by Prof. Michael I. Jordan, and also worked with Prof. Lexin Li (Biostats) and Prof. Robert M. Anderson (Econ). I was a member of CDAR, Berkeley AI Research Lab, and Simons Institute for the Theory of Computing.
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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Shanghai Jiao Tong University
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B.S. Mathematics, First Class Honors, 2014; Advisor: Prof. Ya-Guang Wang.
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Economics and Machine Learning: Matching markets, Mechanism design, Incentives.
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Statistical Learning in Dynamical Systems: Kernel ODE, ODE inference, SGD dynamics.
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High-Dimensional Nonparametric Statistics: Double machine learning, Kernel method, FDR control.
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Brain Imaging Analysis and Biomedical Research: Neuroimaging, Cardiovascular disease, Kidney exchanges.
Editorial Service
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Editorial Board Reviewer, Journal of Machine Learning Research, 2022-