Short Biography:

Chunming Zhang is a Professor in the Department of Statistics at the University of Wisconsin-Madison. She earned her Ph.D. in Statistics from the University of North Carolina at Chapel Hill under the guidance of Jianqing Fan (at Princeton University). Prior to that, she completed her B.S. in Mathematical Statistics at Nankai University in Tianjin, China, and obtained an M.S. in Computational Mathematics from the Chinese Academy of Sciences in Beijing, China. With diverse research interests, she explores statistical learning, data mining, methods applied to medical imaging, neuroinformatics, bioinformatics, multiple testing, large-scale simultaneous inference, statistical methods in financial econometrics, non- and semi-parametric estimation and inference, dimension reduction, high-dimensional inference, robust statistics, as well as functional and longitudinal data analysis. Her current research focuses on advancing large-scale structure learning and developing statistical inference procedures applicable across neuroscience, biology, statistical machine learning, and causal inference.

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