Find UC Berkeley Faculty

statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology

theoretical ecology, stochastic processes, optimal control, decision theory, ecoinformatics, data science, tipping points

epidemiologic methods, Bayesian methods, cancer epidemiology

nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory

machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics

Theoretical and Applied Statistics

mathematical statistics, applied probability, statistical learning theory

computational biology, evolutionary biology, phylogenetics

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

historical biogeography, evolutionary biology, Southeast Asia, population genetics, hummingbirds, functional morphology, vertebrate systematics, phylogenetic analysis, life history evolution, Bayesian methods, Southeast Asian flying lizards

astrophysics, cosmology, machine learning, Bayesian statistics

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

computational biology, machine learning, artificial intelligence, genomics, personal genome interpretation, precision health, rare diseases, statistical genetics, molecular biology, biophysics

molecular biology, computational biology, evolutionary biology, bioengineering, structural genomics, computational genomics, cellular activity, cellular functions, personal genomics