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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"
Marcia C. Linn Marcia C. Linn
School of Education
artificial intelligence, technology, learning, mathematics, science, education, science teaching, gender equity, design of learning environments
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
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
Angjoo Kanazawa Angjoo Kanazawa
Division of Computer Science (EECS)
CS-vision, graphics, machine learning
Alan H. Schoenfeld Alan H. Schoenfeld
School of Education
thinking, teaching, learning, productive learning environments, professional development, mathematics education, modeling thinking and decision making
Benjamin Recht Benjamin Recht
Division of Computer Science (EECS)
machine learning, data science, artificial intelligence
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
Moritz Hardt Moritz Hardt
Division of Computer Science (EECS)
machine learning, society, decision-making
Ziad Obermeyer Ziad Obermeyer
School of Public Health
machine learning, medicine, health policy
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
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
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 of Xiudi ​Li Xiudi ​Li
School of Public Health
causal inference, data integration, federated learning and transfer learning, electronic health records, clinical trials, High Dimensional Data Analysis
Uros Seljak in 2023 Uros Seljak
Dept of Physics
astrophysics, cosmology, machine learning, Bayesian statistics
Person placeholder image Emma Pierson
Division of Computer Science (EECS)
data science, machine learning, inequality, Healthcare
Nikita Nikita Zhivotovskiy
Dept of Statistics
mathematical statistics, applied probability, statistical learning theory
Paul Grigas Paul Grigas
Dept of Industrial Engineering & Operations Research
optimization, machine learning, data-driven decision-making
Headshot of Ahmed Alaa Ahmed Alaa
Computational Precision Health Program
machine learning and artificial intelligence, health care, statistics
headshot of Diag Davenport Diag Davenport
Goldman School of Public Policy
School of Information
applied microeconomics, behavioral science, machine learning
Anne Collins Anne Collins
Dept of Psychology
learning, decision making, computational modeling, executive functions
Alper Atamturk Alper Atamturk
Dept of Industrial Engineering & Operations Research
sparse learning, integer programming, computational optimization, robust optimization, logistics
Headshot Yun S. Song
Dept of Statistics
Division of Computer Science (EECS)
computational biology, machine learning, applied probability and statistics
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
Shachar Kariv Shachar Kariv
Dept of Economics
economics, experimental economics, behavioral economics, networks, microeconomic theory, social learning
Gerbrand Ceder Gerbrand Ceder
Dept of Materials Science and Engineering
energy storage, computational modeling, machine learning, autonomous laboratories
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