معرفی
Charles Kooperberg serves as Professor and Program Head of the Biostatistics Program within the Public Health Sciences Division at Fred Hutchinson Cancer Center, where he is also a Member of the Translational Data Science Integrated Research Center (TDS IRC). Additionally, he holds an Affiliate Professor appointment in Biostatistics at the University of Washington.
His educational background includes:
- PhD in Statistics from University of California, Berkeley (1991)
- MA in Statistics from University of California, Berkeley (1988)
- BSc in Mathematics from Delft University of Technology (1985)
Dr. Kooperberg specializes in statistical genetics and high-dimensional data analysis, developing novel biostatistical methods for genome-wide association studies (GWAS) using SNP genotyping, microarray gene expression, and proteomics data. His research focuses on extracting biological insights from complex patient datasets to understand disease mechanisms, improve risk prediction models, and advance personalized medicine applications.
He leads the Kooperberg Lab which pioneers statistical techniques for genomic and proteomic data interpretation, and serves on the steering committee of the Women's Health Initiative studying chronic diseases in postmenopausal women. Recent work highlighted in Fred Hutch publications addresses inflammation biomarkers, DNA-based risk scores, and diversity in genetic research.
No scientific awards were specified in the source material.
Information about student advising and research grants was not provided in the available text.
