Xiaowu Dai (戴晓武)
E-mail: dai@stat.ucla.edu
I am an Assistant Professor at the Department of Statistics and Data Science and the Department of Biostatistics, UCLA, since 7/2022. I am affiliated with the California Center for Population Research at UCLA, and the Consortium of Data Analytics in Risk (based in the Economics Department) at UC Berkeley.
My research interest is on the foundation of machine learning and game theory for interconnected systems, focusing on statistical modeling and inference of complex, dynamic, high-dimensional data structures and networks, from interactions between humans in a society to interactions of brain regions of interest. Applications include economics and machine learning, and neuroimaging analysis.
Recruiting: UCLA graduate students and visitors interested in machine learning, algorithmic mechanism design, or biostatistics research, feel free to contact me.
Education
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University of California, Berkeley
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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: 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 Inference: Kernel method, Double machine learning, 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-