Wei Pan, PhD
Professor, Division of Biostatistics
PhD, Statistics, University of Wisconsin-Madison, 1997
MS, Computer Science, University of Wisconsin-Madison, 1996
MS, Statistics, University of Wisconsin-Madison, 1995
BEng & BS, Computer Engineering & Applied Math, Tsinghua U, 1989
Summary
My research focuses on statistical genetics, bioinformatics/computational biology, and data mining. I collaborate with both basic biologists and clinicians. Recently, I have been developing statistical and computational methods for analyzing single nucleotide polymorphisms (SNPs) and next-generation sequencing data and integrating multiple types of genomic and proteomic data.
Expertise
Genetics, methods, biostatistics, genomics, machine learning, high-dimensional data, big data, neuroimaging
Research
Research Funding Grants
- 2015–2019, NIH, "Genetic Association and Personalized Medicine," Principal Investigator
- 2014–2018, NIH NIGMS Nat'l Inst of General, "Statistical Methods for Genomic Data," Principal Investigator
- 2014–2019, NIH NIGMS Nat'l Inst of General, "Biostatistics in Genetics and Genomics Training Program," Principal Investigator
- 2013–2017, NIH Nat'l Heart, Lung, and Blood Inst., "Association analysis of rare variants with sequencing data," Principal Investigator
Publications
Teaching
Courses
- PubH 7475/8475, Statistical Learning and Data Mining