Treva Rice

Treva Rice, PhD, is a Professor of Biostatistics and Psychiatry at Washington University in St. Louis. She holds affiliations with the Institute for Informatics, Data Science and Biostatistics (I2DB), the Institute for Public Health, the Institute of Clinical and Translational Sciences (ICTS), and the Center for Biostatistics and Data Science (CBDS). Her research focuses on statistical methodologies for complex trait analysis in genetic studies, particularly related to metabolic syndrome traits like obesity, diabetes, hypertension, and lipids. She has published over 190 research articles and actively contributes to training programs for the biomedical workforce, directing data coordinating centers for summer institutes and teaching genetic epidemiology in masters programs.

Rice’s research interests emphasize methodological advancements in genetic epidemiology and genome-wide association studies. Her work often explores interactions between genetic factors and environmental/sociodemographic variables (e.g., educational attainment, sleep patterns) in cardiometabolic health outcomes. Notably, she leads the HERITAGE Family Study examining exercise training effects and molecular transducers of health changes.

• Key Research Themes: Genetic epidemiology, statistical methodology, metabolic syndrome, cardiovascular health in HIV patients, and implementation science.
• Training Initiatives: Director of data coordination for biomedical training programs and instructor in genetic epidemiology courses.

Her collaborative networks span global institutions, with recent projects focusing on sub-Saharan Africa cardiovascular health interventions and multi-ancestry genetic studies. Rice’s work bridges statistical rigor with translational applications, addressing both methodological challenges and real-world health disparities.