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Rate My Professor Wei Pan

University of Minnesota Twin Cities

Ratings & reviews

4.08/20/2025

Always supportive and deeply knowledgeable.

5.04/30/2025

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About Wei

Wei Pan is a Professor in the Division of Biostatistics and Health Data Science at the School of Public Health, University of Minnesota Twin Cities. He earned a PhD in Statistics from the University of Wisconsin-Madison in 1997, MS degrees in Statistics (1995) and Computer Science (1996) from the same institution, an MSEng in Computer Engineering from the Chinese Academy of Sciences in 1991, and a BEng in Computer Engineering and BS in Applied Mathematics from Tsinghua University in 1989. Pan's research interests encompass statistical genetics, bioinformatics and computational biology, and data mining. He develops statistical and computational methods for analyzing single nucleotide polymorphisms and next-generation sequencing data, integrating multiple types of genomic, proteomic, and other omics data, with applications including Alzheimer's disease genetics, causal inference, machine learning for neuroimaging, proteome-wide association studies, and trait imputation.

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