Find UC Berkeley Faculty

Research Expertise and Interest

Use quotes to search for an exact phrase. Example: "computational biology"

Name

Department

Umesh Vazirani

Division of Computer Science (EECS)

quantum computation, hamiltonian complexity, analysis of algorithms, computer security

Olga Holtz

Dept of Mathematics

numerical analysis, matrix and operator theory, approximation theory, wavelets and splines, orthogonal polynomials and special functions, analysis of algorithms and computational complexity

Prasad Raghavendra

Division of Computer Science (EECS)

theory(THY), optimization, complexity theory, approximation algorithms

Shafi Goldwasser

Division of Computer Science (EECS)

cryptography, computational number theory, complexity theory, fault tolerant distributed computing, probabilistic proof systems, approximation algorithms, theory(THY)

John Wright

Division of Computer Science (EECS)

quantum state learning, quantum complexity theory, property testing, approximation algorithms

Avishay Tal

Division of Computer Science (EECS)

theory(THY), complexity theory, analysis of Boolean functions, randomness in computation, quantum computation

Venkatesan Guruswami

Dept of Mathematics

Division of Computer Science (EECS)

theoretical computer science, coding theory, approximate optimization, randomness in computation, computational complexity

Satish Rao

Division of Computer Science (EECS)

combinatorial optimization, design and analysis of algorithms

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

Stuart J. Russell

Division of Computer Science (EECS)

artificial intelligence, computational biology, algorithms, machine learning, real-time decision-making, probabilistic reasoning

Jelani Nelson

Division of Computer Science (EECS)

theory, algorithms, streaming algorithms, dimensionality reduction, randomized algorithms, machine learning, privacy

Picture of Professor Gray outside the physics department.

Heather Gray

Dept of Physics

particle physics, machine learning, algorithms, quantum algorithms, general purpose computation on the GPU (GPGPU)

Jon Wilkening

Dept of Mathematics

applied mathematics, numerical analysis, computational solid and fluid mechanics

Elizabeth Purdom

Dept of Statistics

computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics

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

Teresa Head-Gordon

Dept of Bioengineering

Dept of Chemical & Biomolecular Engineering

Dept of Chemistry

Computational chemistry, machine learning, chemical physics, biophysics, biomolecules, materials, catalysis, computational science

Sanjay Govindjee

Dept of Civil and Environmental Engineering

finite element analysis, Theoretical and computational solid mechanics, constitutive theory, micromechanics, polymer mechanics, elastomer modeling, battery modeling, thermomechanics, continuum mechanics, failure analysis

Mark Asta

Dept of Materials Science and Engineering

computational materials science

Rajan Udwani

Dept of Industrial Engineering & Operations Research

algorithms, optimization under uncertainty, Revenue Management, pricing, online platforms

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

Philip Marcus

Dept of Mechanical Engineering

algorithms, fluid mechanics, nonlinear dynamics, atmospheric flows, convection, ocean flows, numerical analysis, wind energy, Bayesian optimization, neural networks, turbulence, planet formation, internal gravity waves, inertial waves, desalination, protoplanetary disks

Bruno Olshausen

Dept of Neuroscience

School of Optometry

visual perception, computational neuroscience, computational vision

Steven E. Brenner

Dept of Bioengineering

Dept of Molecular & Cell Biology

Dept of Plant and Microbial Biology

molecular biology, computational biology, evolutionary biology, bioengineering, structural genomics, computational genomics, cellular activity, cellular functions, personal genomics

Martin P. Head-Gordon

Dept of Chemistry

theoretical chemistry, electronic structure calculations, development of novel theories and algorithms, quantum mechanics

Lisa Maher

Dept of Anthropology

archaeology, hunter-gatherers, prehistory, geoarchaeology, landscape use, stone tools technology, emergence of social complexity, ancient technology

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