Public Health Sciences Division, Fred Hutch
Translational Data Science Integrated Research Center (TDS IRC), Fred Hutch
Dr. Chad “Qianchuan” He is a biostatistician whose research is focused on the development of new statistical methods for the analysis of genomic data related to cancer and other complex diseases. His research is highly interdisciplinary in that it involves statistical theory, bioinformatics, high-performance computing and biomedical sciences. Dr. He and his colleagues have developed a statistical approach known as SOMAT to detect somatic mutations associated with multiple cancer-related traits. These mutations, which happen spontaneously or are brought on by environmental exposures, are the driving force for tumor development. Dr. He's biostatistical analysis has been used for studies of breast and liver cancers, tumor microenvironment in sarcoma, as well as risk factors in colon cancer.
Affiliate Associate Professor, Department of Biostatistics
University of Washington
PhD, Biostatistics, University of North Carolina at Chapel Hill, 2012
PhD, Microbiology and Molecular Genetics, Michigan State University, 2005
MS, Statistics, Michigan State University, 2004