Maya L. Petersen Computational Precision Health Program School of Public Health causal inference, precision health, Health AI, targeted learning, HIV, global health, pandemics
Jingshen Wang School of Public Health precision medicine, causal inference, adaptive experiment, machine learning and artificial intelligence
Lisa Barcellos School of Public Health public health, genetic epidemiology, human genetics, autoimmune diseases, Sjogren's Disease, Multiple Sclerosis, systemic lupus erythematosus, rheumatoid arthritis, epigenetics, genomics, computational biology
Aaron Fisher Dept of Psychology Idiographic Science, Group-to-Individual Generalizability, Personalization, EMA, Time Series, physiology, Methods and Statistics
Justin Remais School of Public Health Infectious disease dynamics, methodological issues in infectious disease surveillance, infectious diseases, infectious disease epidemiology, global environmental change, climate change, global change, urbanization, mathematical modeling, computational modeling
Charles Whittaker School of Public Health pandemic preparedness, epidemiological modeling, genomic epidemiology and phylodynamics, public health surveillance, machine learning
Jennifer Ahern School of Public Health mental health, epidemiology, social epidemiology, population health, neighborhood characteristics and health, methodological issues and novel methodological applications in social, traumatic events, substance use, behavioral health, birth outcomes and maternal health
Alan Hubbard School of Public Health causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health