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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 White House Executive Orders and Agency 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 Finance and Human 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

Search by keyword or research area. Use quotes for exact phrases — e.g., "computational biology".
Thibaut Mastrolia Thibaut Mastrolia
Dept of Industrial Engineering & Operations Research
stochastic control, game theory, finance, optimization
Headshot of James Pitman James Pitman
Dept of Statistics
fragmentation, statistics, mathematics, Brownian motion, distribution theory, path transformations, stochastic processes, local time, excursions, random trees, random partitions, processes of coalescence
Oskar Hallatschek Oskar Hallatschek
Dept of Physics
biophysics, evolutionary dynamics, soft matter, statistical physics, theory and experiments
Steven N. Evans Steven Evans
Dept of Mathematics
Dept of Statistics
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
Shirshendu Ganguly Shirshendu Ganguly
Dept of Statistics
probability theory, statistical mechanics
Carl Boettiger Carl Boettiger
Dept of Environmental Science, Policy & Management
theoretical ecology, stochastic processes, optimal control, decision theory, ecoinformatics, data science, tipping points
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
Righter photo Rhonda Righter
Dept of Industrial Engineering & Operations Research
stochastic systems, service operations, scheduling and load balancing, telecommunications, computer and internet communications
headshot of Huiwen Jia Huiwen Jia
Dept of Industrial Engineering & Operations Research
stochastic and robust optimization, machine learning, online learning algorithms, transportation, revenue management, service system design
Jay Groves Jay T. Groves
Dept of Chemistry
physical chemistry, intracellular signal transduction mechanisms, physical chemistry of cell membranes, single molecule imaging, stochastic processes
headshot of Michael DeWeese Michael DeWeese
Dept of Neuroscience
Dept of Physics
machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics
Javad Lavaei Javad Lavaei
Dept of Industrial Engineering & Operations Research
control theory, optimization, power systems
Vadim Gorin with book "Probability" by Albert Shiryaev Vadim Gorin
Dept of Mathematics
Dept of Statistics
integrable probability, random matrices, asymptotic representation theory, 2d statistical mechanics, interacting particle systems, high-dimensional statistics
Koushil Sreenath in outside environment Koushil Sreenath
Dept of Mechanical Engineering
nonlinear control, Legged Robotics, Aerial Robotics
Headshot of Ying Cui Ying Cui
Dept of Industrial Engineering & Operations Research
continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence
University of California, Berkeley

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