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Main menu

  • Research Highlights
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  • Research Units
  • How to
    • Secure Funding
      • Contracts, Gifts and Grants
      • Industry Consortia
      • Funding Opportunities
      • UCB Grant Life Cycle
      • Berkeley Research Development Office
      • Impacts of 2025 Federal Executive Orders and Directives
    • Ensure Compliance
      • Research Policies & Administration
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      • Core Facilities
      • Berkeley Research Infrastructure Commons (RIC)
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    • For VCR Units
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Utilities navigation

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Find UC Berkeley Faculty

Use quotes to search for an exact phrase. Example: "computational biology"
Fei Xu Fei Xu
Dept of Psychology
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
Sophia Rabe-Hesketh Sophia Rabe-Hesketh
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
Patrick Bradshaw Patrick Bradshaw
School of Public Health
epidemiologic methods, Bayesian methods, cancer epidemiology
Uros Seljak in 2023 Uros Seljak
Dept of Physics
astrophysics, cosmology, machine learning, Bayesian statistics
Xueyin (Snow) Zhang sitting in a chair working on laptop Xueyin (Snow) Zhang
Dept of Philosophy
Bayesian epistemology, decision theory, philosophy of probability, Chinese philosophy
Stuart Russell in outdoor environment Stuart J. Russell
Division of Computer Science (EECS)
artificial intelligence, computational biology, algorithms, machine learning, real-time decision-making, probabilistic reasoning
Photo of Alex Dimakis Alex Dimakis
Division of Electrical Engineering (EECS)
generative models
Peter Bickel Peter Bickel
Dept of Statistics
statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology
Peng Ding Peng Ding
Dept of Statistics
Statistical causal inference, missing data, Bayesian statistics, applied statistics
headshot of Ryan Giordano Ryan Giordano
Dept of Statistics
machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
Shafi Goldwasser Shafi Goldwasser
Division of Computer Science (EECS)
cryptography, computational number theory, complexity theory, fault tolerant distributed computing, probabilistic proof systems, approximation algorithms, theory(THY)
Joseph Lewnard Joseph Lewnard
School of Public Health
infectious diseases, antimicrobial resistance, public health surveillance, mathematical modeling, Bayesian inference
headshot of Avi Feller Avi Feller
Dept of Statistics
Goldman School of Public Policy
applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences
Patrick Hsu in the lab Patrick Hsu
Dept of Bioengineering
generative biology, language models, virtual cell models, genome mining and editing, synthetic biology, AI agents for science
José Pablo Vázquez-Medina José Pablo Vázquez-Medina
Dept of Integrative Biology
marine mammals, pre-clinical models of disease
William Collins William Collins
Dept of Earth and Planetary Science
climate change, uncertainty of extremes, climate modeling, coupled models of the climate system, global climate models, solar and terrestrial radiation
David Anthoff David Anthoff
Dept of Energy & Resources Group
environmental economics, climate policy, integrated assessment models
Xin Guo Xin Guo
Dept of Industrial Engineering & Operations Research
stochastic control and games, theory of machine learning and applications to medical and financial data analysis, applied probability and stochastic models
Image of Alexander Huth with brain images in background Alexander Huth
Dept of Neuroscience
Dept of Statistics
language neuroscience, fMRI, semantic modeling, decoding/encoding models, computational neuroscience
Robert Van Houweling Robert Van Houweling
Dept of Political Science
Congress, political parties, voting behavior, spatial models of candidate competition, experimental methods
David Foster David Foster
Dept of Neuroscience
behavioral neurophysiology of spatial learning and memory, hippocampus replay, computational models of reinforcement learning and navigationf
Ayesha S. Mahmud Ayesha S. Mahmud
Dept of Demography
Infectious disease dynamics, disease ecology, mathematical models, Asia, Africa, Central America, climate change
Joseph Farrell Joseph Farrell
Dept of Economics
economics, price theory models of anticompetitive exclusive dealing, switching costs, network effects, formal standardization
Daniel McFadden Daniel McFadden
Dept of Economics
latent variable models, choice modeling, econometric modeling, sampling theory, production theory, consumer theory
man with short hair standing in front of a white board with formulas and other writing. William (Bill) D. Thompson
Dept of Psychology
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
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