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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
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      • 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".
Sam Pimentel Sam Pimentel
Dept of Statistics
causal inference, health services & policy analysis, biostatistics, discrete optimization
Erin Hartman Erin Hartman
Dept of Political Science
causal inference, survey data analysis
Alison Gopnik Alison Gopnik
Dept of Psychology
A.I., learning, philosophy, psychology, cognitive development, theory of mind, young children, children's causal knowledge, Bayes Net formalism
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
headshot of Amanda Coston Amanda Coston
Dept of Statistics
causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness
Jingshen Wang Jingshen Wang
School of Public Health
precision medicine, causal inference, adaptive experiment, machine learning and artificial intelligence
Maya Petersen Maya L. Petersen
Computational Precision Health Program
School of Public Health
causal inference, precision health, Health AI, targeted learning, HIV, global health, pandemics
Zonszein profile picture Stephanie Zonszein
Dept of Political Science
immigrant integration, intergroup relations, causal inference, race and ethnic politics, political behavior
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 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
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
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
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
Vira Semenova Vira Semenova
Dept of Economics
econometrics, machine learning
headshot of Eos Trinidad Jose Eos Trinidad
School of Education
education policy, institutional change, organizational theory, civil society, sociology of education, sociology, network analysis, work, history of professions, professional development, technology policy
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
Christopher Walters Christopher Walters
Dept of Economics
labor economics, applied econometrics, economics of education
Bryan Graham Bryan Graham
Dept of Economics
econometrics, Social and Economic Networks, Peer Effects
Photo of Jennifer Ahern Jennifer Ahern
School of Public Health
mental health, epidemiology, social epidemiology, population health, neighborhood characteristics and health, methodological issues and novel methodological applications in social, traumatic events, substance use, behavioral health, birth outcomes and maternal health
headshot of Patrick Bradshaw Patrick Bradshaw
School of Public Health
epidemiologic methods, Bayesian methods, cancer epidemiology
photo of Becky Staiger Becky Staiger
School of Public Health
health policy and management, access to healthcare, health economics, medicaid, provider behavior, healthcare delivery
Laura Stoker Laura Stoker
Dept of Political Science
American politics, political behavior, political psychology, public opinion, voting and elections, political socialization, research design and empirical methods
University of California, Berkeley

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