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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"
Alper Atamturk Alper Atamturk
Dept of Industrial Engineering & Operations Research
sparse learning, integer programming, computational optimization, robust optimization, logistics
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
Venkatesan Guruswami Venkatesan Guruswami
Dept of Mathematics
Division of Computer Science (EECS)
theoretical computer science, coding theory, approximate optimization, randomness in computation, computational complexity
Ming at a research conference Ming Gu
Dept of Mathematics
mathematics, scientific computing, numerical linear algebra, convex optimization
Aditi Krishnapriyan Aditi Krishnapriyan
Dept of Chemical & Biomolecular Engineering
Division of Computer Science (EECS)
machine learning, geometric deep learning, differentiable physics, dynamical systems, numerical methods, computational geometry, optimization
Prasad Raghavendra in outdoor setting Prasad Raghavendra
Division of Computer Science (EECS)
theory(THY), optimization, complexity theory, approximation algorithms
headshot of Max Willsey Max Willsey
Division of Computer Science (EECS)
programming optimization, programming languages
Jitendra Malik Jitendra Malik
Division of Computer Science (EECS)
computer science, electrical engineering, vision science, computer vision, robotics
Satish Rao Satish Rao
Division of Computer Science (EECS)
combinatorial optimization, design and analysis of algorithms
Umesh Vazirani Umesh Vazirani
Division of Computer Science (EECS)
quantum computation, hamiltonian complexity, analysis of algorithms, computer security
Paul Grigas Paul Grigas
Dept of Industrial Engineering & Operations Research
optimization, machine learning, data-driven decision-making
Javad Lavaei Javad Lavaei
Dept of Industrial Engineering & Operations Research
control theory, optimization, power systems
Headshot of Ying Cui Ying Cui
Dept of Industrial Engineering & Operations Research
continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence
Boubacar Kante Boubacar Kante
Division of Electrical Engineering (EECS)
optoelectronics, quantum optics, optimization, Antennas, Biophysics and Sensing
Thibaut Mastrolia Thibaut Mastrolia
Dept of Industrial Engineering & Operations Research
stochastic control, game theory, finance, optimization
Shafi Goldwasser Shafi Goldwasser
Division of Computer Science (EECS)
cryptography, computational number theory, complexity theory, fault tolerant distributed computing, probabilistic proof systems, approximation algorithms, theory(THY)
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
Dorit Hochbaum Dorit Hochbaum
Dept of Industrial Engineering & Operations Research
data mining, integer programming, discrete optimization, network flow techniques, clustering, image segmentation, machine vision, pattern recognition
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
Michael Lindsey Michael J. Lindsey
Dept of Mathematics
applied mathematics, mathematical analysis, probability, numerical analysis, optimization, Monte Carlo methods
Alice M. Agogino Alice M. Agogino
Dept of Mechanical Engineering
intelligent learning systems, information retrieval and data mining, multiobjective and strategic product design, nonlinear optimization, probabilistic modeling, intelligent control and manufacturing, sensor validation and fusion and diagnostics, wireless sensor networks, multimedia and computer-aided design, design databases, design theory and methods, MEMS Synthesis and CAD, artificial intelligence and decision and expert systems, gender equity
Alexei Efros Alexei Efros
Division of Computer Science (EECS)
computer vision, computer graphics, computational photography, machine learning, artificial intelligence
Sam Pimentel Sam Pimentel
Dept of Statistics
causal inference, health services & policy analysis, biostatistics, discrete optimization
headshot of John Kubiatowicz taken outside, wearing a cap John D. Kubiatowicz
Division of Computer Science (EECS)
computer architecture, quantum computer design, internet-scale storage systems and peer-to-peer networking, operating systems & networking, computer security
headshot of John Huelsenbeck John Huelsenbeck
Dept of Integrative Biology
computational biology, evolutionary biology, phylogenetics
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