John (Jack) Colford Berkeley Public Health public health, epidemiology, infectious diseases, biostatistics, randomized controlled trial design and methodology
Sandrine Dudoit Berkeley Public Health Dept of Statistics statistics, machine learning, data science, applied statistics, statistical computing, computational biology, computational genomics, Precision Medicine, precision health
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, deep brain stimulation, brain-computer-interface, statistical machine learning, Deep Learning, reinforcement learning, networks data analysis, functional data analysis, tensor analysis, ordinary differential equations, dimension reduction, high dimensional inference
Daniel Okamoto Dept of Integrative Biology population dynamics of exploited species, marine biology, community ecology, ecological modeling, biostatistics
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, missing data methods, 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