معرفی
Charles L. Kooperberg is a Professor and Program Head of Biostatistics in the Public Health Sciences Division at Fred Hutchinson Cancer Center, and an Affiliate Professor of Biostatistics at the University of Washington. He holds a PhD in Statistics from the University of California, Berkeley, and a BSc in Mathematics from Delft University of Technology. His research focuses on statistical genetics, high-dimensional data analysis, and the development of novel statistical methods for genomic studies, particularly in GWAS and functional data analysis.
Dr. Kooperberg leads the Kooperberg Lab, which specializes in applying advanced statistical techniques to genetic and proteomic data to understand disease mechanisms. He is deeply involved in the Women’s Health Initiative (WHI), a landmark study examining postmenopausal women’s risks for cancer, cardiovascular disease, and osteoporosis. His work emphasizes translating genomic data into actionable insights for precision medicine and public health.
Key achievements include developing methods like SHAPE for multi-locus SNP analysis and logic regression for identifying gene interactions. He has been recognized as an ASA Fellow for contributions to statistical methodology and its application in genetics.
His research has produced over 200 peer-reviewed publications, with recent work focusing on multi-ancestry studies to enhance genomic discovery in diverse populations. Major contributions include identifying genetic loci for height, blood pressure, lipid metabolism, and cancer susceptibility.
