Charles Gu

Charles Gu is an Associate Professor of Biostatistics and Genetics at Washington University in St. Louis, affiliated with the Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS), the Institute for Informatics, and the Center for Biostatistics and Data Science (CBDS). His research focuses on genetic epidemiology and statistical genetics, particularly in developing computational methods for analyzing high-dimensional genetic data and studying gene-environment interactions in complex diseases like hypertension, cardiovascular disorders, and metabolic syndromes.

Key affiliations include the DBBS programs in Biomedical Informatics, Computational and Systems Biology, and Human and Statistical Genetics. He mentors PhD/MSTP students and collaborates internationally on large-scale genomic studies. Recent work includes studies on clonal hematopoiesis, lipid metabolism, and blood pressure prediction using machine learning.

His 164+ publications span genetic association studies, epigenetic research, and multi-omics approaches, with a focus on translating statistical methods to clinical insights. Notable projects involve genomic analyses of atrial fibrillation, coagulation factors, and the impact of lifestyle on genetic traits.