Sam Pimentel Dept of Statistics causal inference, health services & policy analysis, biostatistics, discrete optimization
Yoram Rubin Dept of Civil and Environmental Engineering risk assessment, hydrogeology, contaminant transport, geostatistics
Daniel Okamoto Dept of Integrative Biology population dynamics of exploited species, marine biology, community ecology, ecological modeling, biostatistics
Sophia Rabe-Hesketh School of Education biostatistics, educational statistics, latent variable models, missing data methods, multilevel models, generalized linear latent and mixed models, hierarchical models, longitudinal data, Item response models, structural equation models
Maya L. Petersen School of Public Health Computational Precision Health Program causal inference, precision health, targeted learning, HIV, global health, pandemics
Alan Hubbard School of Public Health causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health
Mark van der Laan Dept of Statistics School of Public Health targeted learning, real-world data integration in RCTs, sequential adaptive designs, computational biology and genomics, censored data and survival analysis, medical research, inference in longitudinal studies