John Colford Berkeley Public Health public health, epidemiology, infectious diseases, biostatistics, meta-analysis
Alan Hubbard Berkeley Public Health causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health
Nicholas Jewell Berkeley Public Health Dept of Statistics AIDS, statistics, epidemiology, infectious diseases, dengue fever, Wolbachia, Ebola Virus Disease, SARS, H1N1 influenza, adverse cardiovascular effects of pharmaceuticals, counting civilian casualties during conflicts
Lexin Li Berkeley Public Health neuroimaging data analysis, networks data analysis, personalized recommendation, statistical genetics, computational biology, dimension reduction, variable selection, high dimensional regressions, statistical machine learning, data mining, computational statistics
Maya L. Petersen Berkeley Public Health causal inference, precision health, targeted learning, HIV, global health, pandemics
Sam Pimentel Dept of Statistics causal inference, health services & policy analysis, biostatistics, discrete optimization
Sophia Rabe-Hesketh Berkeley School of Education biostatistics, educational statistics, latent variable models, multilevel models, generalized linear latent and mixed models, hierarchical models, longitudinal data, Item response models, structural equation models
Mark van der Laan Berkeley Public Health Dept of Statistics 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
Jingshen Wang Berkeley Public Health Precision Medicine, causal inference, statistical genetics, adaptive experiment