Charles Kooperberg, PhD

faculty member

Charles Kooperberg, PhD

Professor and Program Head, Biostatistics Program
Public Health Sciences Division, Fred Hutch

Translational Data Science Integrated Research Center (TDS IRC), Fred Hutch

Fax: 206.667.4142
Mail Stop: M2-B500

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:
Sandy Ormbrek
Fred Hutchinson Cancer Center
1100 Fairview Ave N. M2-B500
Seattle, WA 98109-1024
Phone: (206) 667-4157

Other Appointments & Affiliations

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

Research Interests

Statistical Genetics. Adaptive Regression Algorithms

Find a Clinical Trial

Dr. Kooperberg in the News

Democratizing DNA-based health risk scores

Hutch News - December 10, 2020

Diverse study populations drive new genetic insight

Science Spotlight - August 19, 2019

Good News at Fred Hutch

Hutch News - May 12, 2016

Good News at Fred Hutch

Hutch News - April 15, 2016

For the Media

The Media Relations team at Fred Hutch is available to assist members of the news media who would like to arrange interviews with faculty.

Email or call 206.667.2210