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Miaoyan Wang is an Associate Professor in the Department of Statistics at the University of Wisconsin–Madison. Her primary research interests lie in statistical machine learning, focusing on matrix and tensor data analyses. She also explores high-dimensional statistics, nonparametric learning, and population/statistical genetics. Dr. Wang completed her PhD in Statistics at the University of Chicago. Prior to her current position, she held postdoctoral positions in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, and in the Simons Math+X program at the University of Pennsylvania. She earned her Bachelor of Science in Mathematics from Fudan University. With her extensive background in advanced statistical methodologies, she contributes significantly to the field of statistics through her research and teaching.
University of California, Berkeley • Berkeley, CA
Postdoctoral position in the Department of Electrical Engineering and Computer Sciences.
University of Pennsylvania • Philadelphia, PA
Postdoctoral position in the Simons Math+X program.
Department: Department of Computer Sciences