Jae K. Lee, Ph.D.
Professor of Biostatistics, Statistics, and Systems and Information
Director, Division of Biostatistics
Department of Public Health Sciences
Ph.D., Statistical Genetics, University of Wisconsin-Madison, 1995
P.O. Box 800717
OMS Room 3894
Dr. Lee received his PhD in statistical genetics from the University of Wisconsin-Madison in 1995. Before coming to the University of Virginia, he had worked at the Center for Computational and Experimental Genomics (now the Computational Biology and Bioinformatics Group) of the University of Southern California and at the Bioinformatics Group of the Laboratory of Molecular Pharmacology, a division of the National Cancer Institute, NIH. Dr. Lee has extensive experience in statistical research in molecular genetics and bioinformatics. He has worked on statistical approaches to genetic population inference, DNA structure analysis, high-throughput gene chip technologies, and linkage association study for human genetic diseases. He has also applied and developed computational statistical techniques to attack various challenging problems in molecular biology and cancer genetics. This includes anticancer gene-drug discovery on high throughput gene expression data and linkage association study for identifying quantitative trait loci of pedigree data. Dr. Lee's current interest is in the analysis of microarray gene expression data. Dr. Lee serves as Director of the UVA GeneChip/Microarray Bioinformatics Core (GMB), which provides statistical and bioinformatics support for the UVA researchers' microarray studies and has been developing the GeneX-Va database/analysis system .