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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"
Nikita Nikita Zhivotovskiy
Dept of Statistics
mathematical statistics, applied probability, statistical learning theory
Peter Barlett Peter Bartlett
Dept of Statistics
Division of Computer Science (EECS)
machine learning, statistical learning theory, adaptive control
Adityanand Guntuboyina Adityanand Guntuboyina
Dept of Statistics
nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory
Shirshendu Ganguly Shirshendu Ganguly
Dept of Statistics
probability theory, statistical mechanics
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
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
Peng Ding Peng Ding
Dept of Statistics
Statistical causal inference, missing data, Bayesian statistics, applied statistics
headshot of Michael DeWeese Michael DeWeese
Dept of Neuroscience
Dept of Physics
machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics
Christian H. Borgs Christian Borgs
Division of Computer Science (EECS)
theoretical computer science, probability theory, combinatorics, complex networks, statistical physics, artificial intelligence, applications of artificial intelligence and machine learning in engineering and sciences
Kannan Ramchandran Kannan Ramchandran
Division of Computer Science (EECS)
Division of Electrical Engineering (EECS)
statistical and sparse signal processing, adversarial and distributed machine learning, coded computing, privacy and security, scalable distributed video-on-demand delivery, coding theory, communications, information theory, peer-to-peer networking, blockchains
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
Alan Hubbard Alan Hubbard
School of Public Health
causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health
Peter Bickel Peter Bickel
Dept of Statistics
statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology
Headshot of Ying Cui Ying Cui
Dept of Industrial Engineering & Operations Research
continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence
Ryan Tibshirani giving a whiteboard talk Ryan Tibshirani
Dept of Statistics
statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Oskar Hallatschek Oskar Hallatschek
Dept of Physics
biophysics, evolutionary dynamics, soft matter, statistical physics, theory and experiments
Song Mei Song Mei
Dept of Statistics
data science, statistics, machine learning
headshot of Negar Mehr Negar Mehr
Dept of Mechanical Engineering
robotics, control theory, artificial intelligence, game theory, machine learning
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
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
Alan Hammond Alan Hammond
Dept of Statistics
probability, mathematical probability, statistical mechanics
Shachar Kariv Shachar Kariv
Dept of Economics
economics, experimental economics, behavioral economics, networks, microeconomic theory, social learning
Headshot Yun S. Song
Dept of Statistics
Division of Computer Science (EECS)
computational biology, machine learning, applied probability and statistics
headshot of Manxi Wu Manxi Wu
Dept of Civil and Environmental Engineering
game theory, multi-agent learning, transportation systems analysis
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
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