معرفی
Professor Wei-Biao Wu is a faculty member in the Department of Statistics at the University of Chicago. His research focuses on advancing statistical theory and methodology for high-dimensional data under dependence, addressing critical problems in covariance matrix estimation, regression, and multiple testing where traditional assumptions of independence or light tails fail.
Research Focus
- Establishing theoretical frameworks for high-dimensional inference with dependent observations
- Developing tools to account for dependence in statistical models
- Studying deviation and concentration inequalities for dependent random variables
- Investigating deep Gaussian approximation problems
Awards & Recognition
- Faculty Award for Excellence in Graduate Teaching (2022)
- Alexander von Humboldt Foundation Research Award (2019)
He maintains an active research program and contributes to graduate education at the University of Chicago.
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