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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"
headshot of Alexandre Mas Alexandre Mas
Haas School of Business
labor markets, human resources, data analysis and statistical methods
Haiyan Huang Haiyan Huang
Dept of Statistics
applied statistics, functional genomics, translational bioinformatics, high dimensional and integrative genomic/genetic data analysis, network modeling, hierarchical multi-lable classification
Elizabeth Purdom Elizabeth Purdom
Dept of Statistics
computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics
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
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
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
Erin Hartman Erin Hartman
Dept of Political Science
causal inference, survey data analysis
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
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
Peng Ding Peng Ding
Dept of Statistics
Statistical causal inference, missing data, Bayesian statistics, applied statistics
Song Mei Song Mei
Dept of Statistics
data science, statistics, machine learning
Sophia Rabe-Hesketh Sophia Rabe-Hesketh
School of Education
biostatistics, educational statistics, latent variable models, missing data methods, multilevel models, generalized linear latent and mixed models, hierarchical models, longitudinal data, Item response models, structural equation models
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
Michael Lindsey Michael J. Lindsey
Dept of Mathematics
applied mathematics, mathematical analysis, probability, numerical analysis, optimization, Monte Carlo methods
Ian Wang Ian Wang
Dept of Environmental Science, Policy & Management
genetics and genomics, genomics, landscape genetics, evolution, population genetics, conservation, herpetology, GIS, spatial analysis, statistical methods, epigenetics
Samuel Lucas at podium Samuel Lucas
Dept of Sociology
research methods, demography, sociology, social stratification, sociology of education, research statistics
BinYu-photo22-1.jpg Bin Yu
Dept of Statistics
machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science
Fernando Pérez Fernando Perez
Dept of Statistics
data science, Educational Data Science, scientific computing
headshot of Ryan Giordano Ryan Giordano
Dept of Statistics
machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
Mathjis De Vaan Mathijs De Vaan
Haas School of Business
network analysis, health care management, economic sociology, research design and empirical methods
Susan Stone smiling in office setting Susan Irene Stone
School of Social Welfare
school-based psycho-social services, school-effects, archival data analysis, community development, organizational development, policy development
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
photo of Aaron Fisher Aaron Fisher
Dept of Psychology
Idiographic Science, Group-to-Individual Generalizability, Personalization, EMA, Time Series, physiology, Methods and Statistics
Patrick Bradshaw Patrick Bradshaw
School of Public Health
epidemiologic methods, Bayesian methods, cancer epidemiology, cardiometabolic risk
Alvin Cheung Alvin Cheung
Division of Computer Science (EECS)
program analysis, program synthesis, database application performance, big systems, big data, database management, database management systems, database design and construction, programming languages and compilers, programming languages
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University of California, Berkeley

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