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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
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      • Field and International Research
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      • 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
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Find UC Berkeley Faculty

Use quotes to search for an exact phrase. Example: "computational biology"
Adityanand Guntuboyina Adityanand Guntuboyina
Dept of Statistics
nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory
headshot of Deborah Nolan Deborah Nolan
Dept of Statistics
statistics, empirical process, high-dimensional modeling, technology in education
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 Amanda Coston Amanda Coston
Dept of Statistics
causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness
Peng Ding Peng Ding
Dept of Statistics
Statistical causal inference, missing data, Bayesian statistics, applied statistics
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
Nikita Nikita Zhivotovskiy
Dept of Statistics
mathematical statistics, applied probability, statistical learning theory
headshot of Avi Feller Avi Feller
Dept of Statistics
Goldman School of Public Policy
applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences
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
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
Will Fithian Will Fithian
Dept of Statistics
Theoretical and Applied Statistics
Song Mei Song Mei
Dept of Statistics
data science, statistics, machine learning
Michael I. Jordan Michael Jordan
Dept of Statistics
Division of Computer Science (EECS)
computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Elizabeth Purdom Elizabeth Purdom
Dept of Statistics
computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics
Perry de Valpine Perry de Valpine
Dept of Environmental Science, Policy & Management
population ecology, mathematical modeling and statistics
Headshot Yun S. Song
Dept of Statistics
Division of Computer Science (EECS)
computational biology, machine learning, applied probability and statistics
Uros Seljak in 2023 Uros Seljak
Dept of Physics
astrophysics, cosmology, machine learning, Bayesian statistics
Headshot of Ahmed Alaa Ahmed Alaa
Computational Precision Health Program
machine learning and artificial intelligence, health care, statistics
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 Ryan Giordano Ryan Giordano
Dept of Statistics
machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics
Samuel Lucas at podium Samuel Lucas
Dept of Sociology
research methods, demography, sociology, social stratification, sociology of education, research statistics
Anil Aswani in outside setting Anil Aswani
Dept of Industrial Engineering & Operations Research
machine learning and artificial intelligence, precision health, optimization, statistics
Peter Bickel Peter Bickel
Dept of Statistics
statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology
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
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
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University of California, Berkeley

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