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
Perry de Valpine Dept of Environmental Science, Policy & Management population ecology, mathematical modeling and statistics
Charles Whittaker School of Public Health pandemic preparedness, epidemiological modeling, genomic epidemiology and phylodynamics, public health surveillance, machine learning
Ayesha S. Mahmud Dept of Demography Infectious disease dynamics, disease ecology, mathematical models, Asia, Africa, Central America, climate change
Joseph Lewnard School of Public Health infectious diseases, antimicrobial resistance, public health surveillance, mathematical modeling, Bayesian inference
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Carl Boettiger Dept of Environmental Science, Policy & Management theoretical ecology, stochastic processes, optimal control, decision theory, ecoinformatics, data science, tipping points
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
Misbath Daouda School of Public Health climate and health equity, just energy transitions and interventions, environmental justice, maternal and child health, mixed methods
Alan Hubbard School of Public Health causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health
Lotus Lofgren Dept of Plant and Microbial Biology comparative genomics, bioinformatics, ecology, mycology