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Main menu

  • Research Highlights
  • Expertise Finder
  • 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
      • Research Compliance
      • Intellectual Property & Tech Transfer
      • Research Personnel
      • Field and International Research
    • Locate Facilities
      • Core Facilities
      • Berkeley Research Infrastructure Commons (RIC)
      • Research Computing and Data Management
      • Field Stations, Research Forests, and Museums
    • For VCR Units
      • ORU Policies
      • VCRO Budget Resources
      • VCRO HR Resources

Utilities navigation

  • About Us
    • Vice Chancellor Yelick
    • Associate Vice Chancellor Siu
    • Staff Contacts
    • Organizational Chart
    • Current Searches
    • Research Advisory Groups and Initiatives
    • Former Leadership
  • News

Find UC Berkeley Faculty

Use quotes to search for an exact phrase. Example: "computational biology"
David Foster David Foster
Dept of Neuroscience
behavioral neurophysiology of spatial learning and memory, hippocampus replay, computational models of reinforcement learning and navigationf
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, cognitive development and AI models, psychology and philosophy
Peter Bickel Peter Bickel
Dept of Statistics
statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology
Teresa Head-Gordon standing with hands crossed in front Teresa Head-Gordon
Dept of Bioengineering
Dept of Chemical & Biomolecular Engineering
Dept of Chemistry
Computational chemistry, machine learning, chemical physics, biophysics, biomolecules, materials, catalysis, computational science
Anne Collins Anne Collins
Dept of Psychology
learning, decision making, computational modeling, executive functions
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
Headshot Yun S. Song
Dept of Statistics
Division of Computer Science (EECS)
computational biology, machine learning, applied probability and statistics
Celeste Kidd Celeste Kidd
Dept of Psychology
attention, curiosity, learning, computational modeling, cognitive development, machine learning, belief formation
Lexin Li Lexin Li
School of 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
Alper Atamturk Alper Atamturk
Dept of Industrial Engineering & Operations Research
sparse learning, integer programming, computational optimization, robust optimization, logistics
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
Gerbrand Ceder Gerbrand Ceder
Dept of Materials Science and Engineering
energy storage, computational modeling, machine learning, autonomous laboratories
Aditi Krishnapriyan Aditi Krishnapriyan
Dept of Chemical & Biomolecular Engineering
Division of Computer Science (EECS)
machine learning, geometric deep learning, differentiable physics, dynamical systems, numerical methods, computational geometry, optimization
Jennifer Listgarten Jennifer Listgarten
Division of Computer Science (EECS)
artificial intelligence, machine learning, computational biology, protein engineering, statistical design of experiments, statistical machine learning, experimental design
Alexei Efros Alexei Efros
Division of Computer Science (EECS)
computer vision, computer graphics, computational photography, machine learning, artificial intelligence
headshot of Alane Suhr Alane Suhr
Division of Computer Science (EECS)
artificial intelligence, natural language processing, machine learning, computer vision, computational linguistics
Michael I. Jordan Michael Jordan
Dept of Statistics
Division of Computer Science (EECS)
computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Photo of Alex Dimakis Alex Dimakis
Division of Electrical Engineering (EECS)
generative models
Frederic Theunissen Frederic Theunissen
Dept of Integrative Biology
Dept of Neuroscience
behavior, cognition, brain, psychology, birdsong, vocal learning, audition, neurophysiology, speech perception, computational neuroscience, theoretical neuroscience
Sandrine Dudoit Sandrine Dudoit
Dept of Statistics
School of Public Health
statistics, machine learning, data science, applied statistics, statistical computing, computational biology, computational genomics, Precision Medicine, precision health
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
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
David Bamman in office setting with bookcase in background David Bamman
School of Information
natural language processing, machine learning, digital humanities, computational social science, data science
Kurt Keutzer Kurt Keutzer
Division of Electrical Engineering (EECS)
computationally efficient machine learning and deep learning, AI
Sara McMains Sara McMains
Dept of Mechanical Engineering
geometric and solid modeling, general purpose computation on the GPU (GPGPU), CAD/CAM, computational geometry, computer graphics and visualization, tool path planning, additive manufacturing, computer vision, Deep Learning
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University of California, Berkeley

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