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Kooperberg
Charles Kooperberg, PhD
- Professor and Program Head, Biostatistics Program, Public Health Sciences Division, Fred Hutch
- Member, Translational Data Science Integrated Research Center (TDS IRC), Fred Hutch
- Affiliate Professor, Biostatistics, University of Washington
Background
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:
Denise Albano
dalbano@fredhutch.org
Education
PhD, Statistics, University of California, Berkeley, 1991
MA, Statistics, University of California, Berkeley, 1988
BSc, Mathematics, Delft University of Technology, 1985
Research Interests
Statistical Genetics. Adaptive Regression Algorithms