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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"
Photo of Alex Dimakis Alex Dimakis
Division of Electrical Engineering (EECS)
generative models
Perry de Valpine Perry de Valpine
Dept of Environmental Science, Policy & Management
population ecology, mathematical modeling and statistics
headshot of Koushik Sen Koushik Sen
Division of Computer Science (EECS)
computer science, programming systems, software engineering, programming languages, computational logic, software testing, verification, model checking, runtime monitoring, performance evaluation
Alper Atamturk Alper Atamturk
Dept of Industrial Engineering & Operations Research
sparse learning, integer programming, computational optimization, robust optimization, logistics
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
headshot of Alane Suhr Alane Suhr
Division of Computer Science (EECS)
artificial intelligence, natural language processing, machine learning, computer vision, computational linguistics
Alexei Efros Alexei Efros
Division of Computer Science (EECS)
computer vision, computer graphics, computational photography, machine learning, artificial intelligence
SHAOFAN LI Shaofan Li
Dept of Civil and Environmental Engineering
applications of artificial intelligence and machine learning in engineering and sciences, structural mechanics, computational mechanics, computational materials, computational mechanics and computational physics, finite element methods and meshfree particle methods, ferroelectric and piezoelectric materials, atomistic simulation and multiscale simulations, nonlinear continuum mechanics, soft matter mechanics, wave propagations, modeling and simulation of fracture, dislocations, modeling and simulation of material failures, nano-mechanics, bio-mechanics and bio-physics, cellular mechanics, micromechanics & composite materials, mechanics and physics of amorphous materials
Sung-Hou Kim Sung-Hou Kim
Dept of Chemistry
computational genomics, Genomic susceptibility of common diseases, Genomic Tree of Life, Demography of human genome diversity
Daniel McFadden Daniel McFadden
Dept of Economics
latent variable models, choice modeling, econometric modeling, sampling theory, production theory, consumer theory
Steven E. Brenner Steven E. Brenner
Dept of Bioengineering
Dept of Molecular & Cell Biology
Dept of Plant and Microbial Biology
molecular biology, computational biology, evolutionary biology, bioengineering, structural genomics, computational genomics, cellular activity, cellular functions, personal genomics
Shawn Shadden Shawn Shadden
Dept of Mechanical Engineering
cardiovascular biomechanics, computational mechanics, computational fluid dynamics, thrombosis, medical image processing, dynamical systems, fluid dynamics, Lagrangian coherent structures, mathematical modeling
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
Headshot Yun S. Song
Dept of Statistics
Division of Computer Science (EECS)
computational biology, machine learning, applied probability and statistics
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
Jennifer Chayes Jennifer Chayes
Dept of Mathematics
Dept of Statistics
Division of Computer Science (EECS)
phase transitions in computer science, structural and dynamical properties of networks, graphons, machine learning, ethical decision making, climate change
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
Cesunica Ivey Cesunica Ivey
Dept of Civil and Environmental Engineering
atmospheric modeling, exposure monitoring, environmental justice applications, community resilience, climate adaptation and disaster resilience
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
Photo of Professor Justin Remais Justin Remais
School of Public Health
Infectious disease dynamics, methodological issues in infectious disease surveillance, infectious diseases, infectious disease epidemiology, global environmental change, climate change, global change, urbanization, mathematical modeling, computational modeling
Nika Haghtalab Nika Haghtalab
Division of Computer Science (EECS)
artificial intelligence, machine learning, theoretical computer science, game theory and mechanism design
Jack P. Moehle Jack P. Moehle
Dept of Civil and Environmental Engineering
earthquake engineering, structural engineering, reinforced concrete, performance-based earthquake engineering, high-rise buildings, lifeline systems, rehabilitation (retrofitting), laboratory testing
headshot of Van P. Carey Van P. Carey
Dept of Mechanical Engineering
mechanical engineering, use of machine learning to develop high performance energy conversion and thermal management technologies, micro-to-nanoscale modeling of the thermophysics of multiphase systems, waste plastic transport in environmental watersheds, waste plastic recycling
Panayiotis Papadopoulos Panayiotis Papadopoulos
Dept of Mechanical Engineering
continuum mechanics, computational mechanics, contact mechanics, computational plasticity, materials modeling, solid mechanics, applied mathematics, dynamics of pseudo-rigid bodies
Zachary Pardos Zachary Pardos
School of Education
knowledge representation, adaptive learning, artificial intelligence, learning analytics, Recommender Systems, higher education, data science, Digital Learning Environments, cognitive modeling, Big Data in Education, Knowledge Tracing, Formative Assessment, intelligent tutoring systems, Online Learning, psychometrics, Educational Data Mining
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University of California, Berkeley

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