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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 Michael DeWeese Michael DeWeese
Dept of Neuroscience
Dept of Physics
machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics
headshot of Alistair Sinclair Alistair Sinclair
Dept of Statistics
Division of Electrical Engineering (EECS)
algorithms, applied probability, statistics, random walks, Markov chains, computational applications of randomness, Markov chain Monte Carlo, statistical physics, combinatorial optimization
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
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
Jacob Steinhardt Jacob Steinhardt
Dept of Statistics
artificial intelligence, machine learning
Samuel Lucas at podium Samuel Lucas
Dept of Sociology
research methods, demography, sociology, social stratification, sociology of education, research statistics
Headshot Rasmus Nielsen
Dept of Integrative Biology
Dept of Statistics
evolution, molecular evolution, population genetics, human variation, human genetics, phylogenetics, applied statistics, genetics, evolutionary processes, evolutionary biology
Anil Aswani in outside setting Anil Aswani
Dept of Industrial Engineering & Operations Research
machine learning and artificial intelligence, precision health, optimization, statistics
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 Ying Cui Ying Cui
Dept of Industrial Engineering & Operations Research
continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence
Perry de Valpine Perry de Valpine
Dept of Environmental Science, Policy & Management
population ecology, mathematical modeling and statistics
Nicholas Jewell Nicholas Jewell
School of Public Health
Dept of Statistics
AIDS, statistics, epidemiology, infectious diseases, dengue fever, Wolbachia, Ebola Virus Disease, SARS, H1N1 influenza, adverse cardiovascular effects of pharmaceuticals, counting civilian casualties during conflicts
Sam Pimentel Sam Pimentel
Dept of Statistics
causal inference, health services & policy analysis, biostatistics, discrete optimization
BinYu-photo22-1.jpg Bin Yu
Dept of Statistics
machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science
Jingshen Wang Jingshen Wang
School of Public Health
Precision Medicine, causal inference, adaptive experiment, machine learning and artificial intelligence
Headshot of James Pitman James Pitman
Dept of Statistics
fragmentation, statistics, mathematics, Brownian motion, distribution theory, path transformations, stochastic processes, local time, excursions, random trees, random partitions, processes of coalescence
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
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
wdt William (Bill) D. Thompson
Dept of Psychology
cognition, cognitive science, artificial intelligence, learning, Problem solving, Reasoning, decision-making, Bayesian statistics, natural language processing, machine learning, computational modeling, collective decision-making, social networks
Nilah Ioannidis Nilah Ioannidis
Division of Computer Science (EECS)
computational biology, machine learning, artificial intelligence, genomics, personal genome interpretation, precision health, rare diseases, statistical genetics, molecular biology, biophysics
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
Maya Petersen Maya L. Petersen
School of Public Health
Computational Precision Health Program
causal inference, precision health, targeted learning, HIV, global health, pandemics
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
Oskar Hallatschek Oskar Hallatschek
Dept of Physics
biophysics, evolutionary dynamics, soft matter, statistical physics, theory and experiments
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University of California, Berkeley

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