Jason R Gantenberg

Jason R Gantenberg is an Assistant Professor of the Practice in the Department of Epidemiology at Brown University and a Research Scientist in the Center for Evidence Synthesis in Health. His roles include teaching in the School of Public Health (PHP2200 Intermediate Methods in Epidemiologic Research). He holds a PhD from Brown University (2022) and completed a postdoctoral fellowship in the Center for Gerontology & Health Services Research.

His research focuses on infectious disease transmission dynamics, computational modeling (agent-based models), causal inference, and machine learning applications in epidemiology. Key projects include the MAPPS initiative studying contact networks via Bluetooth/WiFi positioning systems and analyzing HIV/STI disparities in urban MSM populations. He investigates respiratory syncytial virus (RSV) and influenza epidemiology, including hospitalization prediction using ensemble machine learning and infant healthcare utilization patterns.

Collaborations include work with epidemiologists like Andrew Zullo, Brandon Marshall, and Chanelle Howe, as well as interdisciplinary teams in biostatistics and health policy. His research has been published in journals such as Annals of Epidemiology, American Journal of Epidemiology, and PLOS ONE.