Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

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)

Satish Rao

Division of Computer Science (EECS)

combinatorial optimization, design and analysis of algorithms

Prasad Raghavendra

Division of Computer Science (EECS)

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

Umesh Vazirani

Division of Computer Science (EECS)

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

Rajan Udwani

Dept of Industrial Engineering & Operations Research

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

John Wright

Division of Computer Science (EECS)

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

Martin P. Head-Gordon

Dept of Chemistry

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

Huiwen Jia

Dept of Industrial Engineering & Operations Research

stochastic and robust optimization, machine learning, online learning algorithms, transportation, Revenue Management, service system design

Stuart J. Russell

Division of Computer Science (EECS)

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

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

Shafi Goldwasser

Division of Computer Science (EECS)

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

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

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

Shmuel S. Oren

Dept of Industrial Engineering & Operations Research

economics, algorithms, financial engineering, risk management, planning, optimization, operation of electric power systems, market based coordination of network systems, trading instruments

Daniel Klein

Division of Computer Science (EECS)

unsupervised language acquisition, efficient algorithms for NLP, linguistically rich models of language, integrating symbolic and statistical methods for NLP, organization of the web, machine translation, information extraction

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

Amanda Coston

Dept of Statistics

causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness

Kirk Bansak

Dept of Political Science

causal inference, experimental design and analysis, algorithmic decision-making, refugee resettlement and asylum politics, public opinion, survey methodology

Sung-Hou Kim

Dept of Chemistry

computational genomics, Genomic susceptibility of common diseases, Genomic Tree of Life, Demography of human genome diversity

Sara McMains

Dept of Mechanical Engineering

geometric and solid modeling, general purpose computation on the GPU (GPGPU), CAD/CAM, computational geometry, computer graphics and visualization, tool path planning, additive manufacturing, computer vision, Deep Learning

Dorit Hochbaum

Dept of Industrial Engineering & Operations Research

data mining, integer programming, discrete optimization, network flow techniques, clustering, image segmentation, machine vision, pattern recognition

Sergey Levine

Division of Computer Science (EECS)

artificial intelligence, intelligent systems and robotics

Venkat Anantharam

Division of Electrical Engineering (EECS)

game theory, applied probability, electrical engineering, communications, control, communication networks, error control coding

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