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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".
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
Jacob Steinhardt Jacob Steinhardt
Dept of Statistics
artificial intelligence, machine learning
headshot of Jason Lee with water fall in background Jason Lee
Dept of Statistics
Division of Computer Science (EECS)
machine learning theory, optimization, statistics, deep learning
Headshot of Ahmed Alaa Ahmed Alaa
Computational Precision Health Program
machine learning and artificial intelligence, health care, statistics
Benjamin Recht Benjamin Recht
Division of Computer Science (EECS)
machine learning, data science, artificial intelligence
headshot Jennifer Listgarten
Division of Computer Science (EECS)
artificial intelligence, machine learning, computational biology, protein engineering, statistical design of experiments, statistical machine learning, experimental design
Ziad Obermeyer Ziad Obermeyer
School of Public Health
machine learning, medicine, health policy
Kurt Keutzer Kurt Keutzer
Division of Electrical Engineering (EECS)
computationally efficient machine learning and deep learning, AI
Alexandre Bayen Alexandre Bayen
Division of Electrical Engineering (EECS)
control, optimization, machine learning, applications: transportation; mobile sensing; connected health
headshot of Bethany Goldblum Bethany L. Goldblum
Dept of Nuclear Engineering
applied nuclear physics, neutron detection, scintillation physics, machine learning applications, nuclear weapon policy
Peter Bickel Peter Bickel
Dept of Statistics
statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology
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
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
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
Alberto Sangiovanni-Vincentelli sitting with hand extended in front of diagram. Alberto Sangiovanni-Vincentelli
Division of Electrical Engineering (EECS)
Cyber-Physical Systems, System design, Electronic Design Systems, embedded system design, control, integrated circuits, theory, Machine learning applications to Energy Efficient Building and Health
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
Diag Davenport in outdoor setting Diag Davenport
Goldman School of Public Policy
School of Information
applied microeconomics, behavioral science, machine learning
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
Ali Mesbah Ali Mesbah
Dept of Chemical & Biomolecular Engineering
model predictive control, learning-based control, low-temperature plasma processing, machine learning and control for plasmas, semiconductor manufacturing
headshot of Negar Mehr Negar Mehr
Dept of Mechanical Engineering
robotics, control theory, artificial intelligence, game theory, machine learning
BinYu-photo22-1.jpg Bin Yu
Dept of Statistics
machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science
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
Roberto Horowitz Roberto Horowitz
Dept of Mechanical Engineering
adaptive control, machine learning, learning and nonlinear control, control of robot manipulators, computer mechatronics systems, micro-electromechanical systems (MEMS), intelligent vehicle, highways systems
Picture of Professor Gray outside the physics department. Heather Gray
Dept of Physics
particle physics, machine learning, algorithms, quantum algorithms, general purpose computation on the GPU (GPGPU)
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
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