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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"
Richard Stanton Richard Stanton
Haas School of Business
mortgage markets, prepayment modeling, valuation, hedging, term structure modeling valuation of derivative securities, application of non-parametric estimation techniques, pricing of derivatives
Erin Hartman Erin Hartman
Dept of Political Science
causal inference, survey data analysis
Jingshen Wang Jingshen Wang
School of Public Health
Precision Medicine, causal inference, adaptive experiment, machine learning and artificial intelligence
Maya Petersen Maya L. Petersen
School of Public Health
Computational Precision Health Program
causal inference, precision health, targeted learning, HIV, global health, pandemics
headshot of Amanda Coston Amanda Coston
Dept of Statistics
causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness
Karthik Shekhar Karthik Shekhar
Dept of Chemical & Biomolecular Engineering
cellular and systems biology, statistical inference, single-cell genomics
Sam Pimentel Sam Pimentel
Dept of Statistics
causal inference, health services & policy analysis, biostatistics, discrete optimization
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
headshot of Mark van der Laan Mark van der Laan
Dept of Statistics
School of Public Health
targeted learning, real-world data integration in RCTs, sequential adaptive designs, computational biology and genomics, censored data and survival analysis, medical research, inference in longitudinal studies
Alan Hubbard Alan Hubbard
School of Public Health
causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health
Peng Ding Peng Ding
Dept of Statistics
Statistical causal inference, missing data, Bayesian statistics, applied statistics
Kirk Bansak Kirk Bansak
Dept of Political Science
causal inference, experimental design and analysis, algorithmic decision-making, refugee resettlement and asylum politics, public opinion, survey methodology
headshot of Ryan Giordano Ryan Giordano
Dept of Statistics
machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
Zonszein profile picture Stephanie Zonszein
Dept of Political Science
immigrant integration, intergroup relations, causal inference, race and ethnic politics, political behavior
Joseph Lewnard Joseph Lewnard
School of Public Health
infectious diseases, antimicrobial resistance, public health surveillance, mathematical modeling, Bayesian inference
Thad Dunning Thad Dunning
Dept of Political Science
political economy, ethnic politics, comparative clientelism in developing countries, research design, causal inference, statistical methods, multi-method research
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
David Harding David Harding
Dept of Sociology
poverty, inequality, causal inference, mixed methods, incarceration, prisoner reentry, education, neighborhoods, urban, community, adolescence, public impact research/scholarship
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
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
Philip B. Stark Philip B. Stark
Dept of Statistics
elections, astrophysics, law, statistics, litigation, causal inference, inverse problems, geophysics, uncertainty quantification, educational technology, soil science, race and gender bias and discrimination, nonparametrics, climate, natural disasters, sustainable food systems, public impact research/scholarship, community-engaged research/scholarship, community-based research partnerships, social justice research, research in the public interest, active transportation, earthquake hazard mitigation, natural hazards
Michael Ranney Michael Ranney
School of Education
Dept of Psychology
Problem solving, knowledge representation & reorganization, explanatory coherence & inference, conceptual change, societal implications, science instruction, global climate change psychology, numeracy in journalism, naïve/informal physics, computational models of cognition, perceptual-cognitive interactions, intelligent tutoring systems, understandings of biological evolution, Reasoning, qualitative & quantitative thinking
Michael L. Anderson Michael L. Anderson
Dept of Agricultural & Resource Economics
health economics, environmental economics
Vira Semenova Vira Semenova
Dept of Economics
econometrics, machine learning
landscape photo Juliana Schroeder
Haas School of Business
social cognition, judgment and decision making, interpersonal and intergroup processes, social psychology, organizational performance, negotiations, morality, decision-making, conversation/communication
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University of California, Berkeley

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