Professor and Program Head, Biostatistics Program
Public Health Sciences Division, Fred Hutch
Translational Data Science Integrated Research Center (TDS IRC), Fred Hutch
Dr. Charles Kooperberg is a biostatistician. He specializes in statistical genetics and the analysis of nuanced, complex data known as “high-dimensional” data, particularly as it is applied to understanding the genes and proteins that underlie human disease. Dr. Kooperberg and his colleagues create new statistical techniques to extract useful biological information from patient data, which is an increasingly complex process thanks to the sequencing of the human genome and recent breakthroughs in high-throughput technologies for single nucleotide polymorphism, or SNP, genotyping, gene expression and protein measurements. Many new genetic associations have been identified by genome-wide association studies, or GWAS, and there are potentially many uses of these identified variants. These include a better understanding of how disease develops, personalized medicine, new leads for studying underlying biology and disease-risk prediction.
Dr. Kooperberg creates biostatistical models for the estimation of disease probability and focuses on GWAS with SNP, microarray and proteomics data. He is also involved in the activities of the Clinical Coordinating Center of the Women's Health Initiative, a longtime program involving thousands of women that studies breast cancer, colorectal cancer, coronary heart disease and hip fractures in postmenopausal women.
For questions or additional information:
Fred Hutchinson Cancer Center
1100 Fairview Ave N. M2-B500
Seattle, WA 98109-1024
Phone: (206) 667-4157
Affiliate Professor, Biostatistics
University of Washington
PhD, Statistics, University of California, Berkeley, 1991
MA, Statistics, University of California, Berkeley, 1988
BSc, Mathematics, Delft University of Technology, 1985
Statistical Genetics. Adaptive Regression Algorithms
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