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Main menu

  • Research Highlights
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  • 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
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    • For VCR Units
      • ORU Policies
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Utilities navigation

  • About Us
    • Vice Chancellor Yelick
    • Associate Vice Chancellor Siu
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Find UC Berkeley Faculty

Use quotes to search for an exact phrase. Example: "computational biology"
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 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
headshot of Deborah Nolan Deborah Nolan
Dept of Statistics
statistics, empirical process, high-dimensional modeling, technology in education
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
Adityanand Guntuboyina Adityanand Guntuboyina
Dept of Statistics
nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory
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
Dung-Hai Lee Dung-Hai Lee
Dept of Physics
physics, theoretical condensed matter, topological phase transitions, high-temperature superconductivity, organization principles enabling microscopic degrees of freedom to behave cooperatively, matter and their formation mechanisms, low dimensional quantum magnets, strongly correlated Fermi and Bose fluids
Katrin Wehrheim Katrin Wehrheim
Dept of Mathematics
low-dimensional topology, symplectic topology, geometry/topology
Erin Hartman Erin Hartman
Dept of Political Science
causal inference, survey data analysis
Maya Petersen Maya L. Petersen
School of Public Health
Computational Precision Health Program
causal inference, precision health, targeted learning, HIV, global health, pandemics
Michael Hutchings Michael Hutchings
Dept of Mathematics
mathematics, symplectic geometry, contact geometry, low dimensional topology, dynamics
headshot of Ian Agol Ian Agol
Dept of Mathematics
topology of 3-manifolds, interaction hyperbolic geometry, low-dimensional topology
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
Kathy Yelick Katherine A. Yelick
Division of Computer Science (EECS)
high performance computing, partitioned Global Address Space programming, communication-avoiding algorithms, automatic performance tuning, high performance data analytics, computational biology
Jingshen Wang Jingshen Wang
School of Public Health
Precision Medicine, causal inference, adaptive experiment, machine learning and artificial intelligence
headshot of Amanda Coston Amanda Coston
Dept of Statistics
causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness
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 Ryan Giordano Ryan Giordano
Dept of Statistics
machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
Kwabena Bediako in lab Kwabena Bediako
Dept of Chemistry
inorganic chemistry, materials chemistry, heterogeneous catalysis, electrochemistry, quantum transport, optoelectronics, low-dimensional and nanoscale structures
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
Raymond Jenaloz Raymond Jeanloz
Dept of Astronomy
Dept of Earth and Planetary Science
planetary geophysics, high-pressure physics, national and international security, science-based policy
Gerard Marriott Gerard Marriott
Dept of Bioengineering
Sensors and biosensors, drug delivery systems, optical spectroscopy and microscopy, high-contrast imaging, biomaterials
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University of California, Berkeley

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