Find UC Berkeley Faculty

data science, statistics, machine learning

computational biology, machine learning, applied probability and statistics

machine learning and artificial intelligence, health care, statistics

statistics, empirical process, high-dimensional modeling, technology in education

population ecology, mathematical modeling and statistics

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

causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness

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

astrophysics, cosmology, machine learning, Bayesian statistics

machine learning and artificial intelligence, precision health, optimization, statistics

evolution, molecular evolution, population genetics, human variation, human genetics, phylogenetics, applied statistics, genetics, evolutionary processes, evolutionary biology

fragmentation, statistics, mathematics, Brownian motion, distribution theory, path transformations, stochastic processes, local time, excursions, random trees, random partitions, processes of coalescence

AIDS, statistics, epidemiology, infectious diseases, dengue fever, Wolbachia, Ebola Virus Disease, SARS, H1N1 influenza, adverse cardiovascular effects of pharmaceuticals, counting civilian casualties during conflicts

Idiographic Science, Group-to-Individual Generalizability, Personalization, EMA, Time Series, physiology, Methods and 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

cognition, cognitive science, artificial intelligence, learning, Problem solving, Reasoning, decision-making, Bayesian statistics, natural language processing, machine learning, computational modeling, collective decision-making, social networks

phase transitions in computer science, structural and dynamical properties of networks, graphons, machine learning, ethical decision making, climate change

statistics, organization, psychology, research methodology, industrial, social psychology, personnel, cross-cultural work values, decision-making research, work and family issues, the work values of Chinese employees

elections, astrophysics, law, statistics, litigation, causal inference, inverse problems, geophysics, uncertainty quantification, educational technology, soil science, race and gender bias and discrimination, nonparametrics, climate, natural disasters, sustainable food systems, public impact research/scholarship, community-engaged research/scholarship, community-based research partnerships, social justice research, research in the public interest, active transportation, earthquake hazard mitigation, natural hazards

machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science

quantum computation, hamiltonian complexity, analysis of algorithms, computer security

large random combinatorial structures, random matrices, superprocesses & other measure-valued processes, probability on algebraic structures -particularly local fields, applications of stochastic processes to biodemography, mathematical finance, population genetics, phylogenetics & historical linguistics

computer science, electrical engineering, vision science, computer vision, robotics