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

Bayesian epistemology, decision theory, philosophy of probability, Chinese philosophy

epidemiologic methods, Bayesian methods, cancer epidemiology

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

computational biology, evolutionary biology, phylogenetics

A.I., learning, philosophy, psychology, cognitive development, theory of mind, young children, children's causal knowledge, Bayes Net formalism

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

Statistical causal inference, missing data, Bayesian statistics, applied statistics

infectious diseases, antimicrobial resistance, public health surveillance, mathematical modeling, Bayesian inference

cognitive development, language development, learning mechanisms, statistical learning and statistical inference, conceptual development, developmental psychology, word learning, physical reasoning, social cognition in infants and children, learning in infants and young children, computational models of cognitive development, Bayesian probabilistic models, cognitive development and AI models, psychology and philosophy

astrophysics, cosmology, machine learning, Bayesian statistics

robotics, human-robot interaction, human-compatible artificial intelligence

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