Find UC Berkeley Faculty

Research Expertise and Interest

Search by keyword or research area. Use quotes for exact phrases — e.g., "computational biology".

Name

Department

Satish Rao

Division of Computer Science (EECS)

combinatorial optimization, design and analysis of algorithms

Ying Cui

Dept of Industrial Engineering & Operations Research

continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence

Prasad Raghavendra in outdoor setting

Prasad Raghavendra

Division of Computer Science (EECS)

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

Jason Lee

Dept of Statistics

Division of Computer Science (EECS)

machine learning theory, optimization, statistics, deep learning

Martin P. Head-Gordon

Martin P. Head-Gordon

Dept of Chemistry

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

Paul Grigas

Dept of Industrial Engineering & Operations Research

optimization, machine learning, data-driven decision-making

Dept of Industrial Engineering & Operations Research

sparse learning, integer programming, computational optimization, robust optimization, logistics

Michael Lindsey

Michael J. Lindsey

Dept of Mathematics

applied mathematics, mathematical analysis, probability, numerical analysis, optimization, Monte Carlo methods

Venkatesan Guruswami

Venkatesan Guruswami

Dept of Mathematics

Division of Computer Science (EECS)

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

Michael I. Jordan

Dept of Statistics

Division of Computer Science (EECS)

computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, 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

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

Max Willsey

Division of Computer Science (EECS)

programming optimization, programming languages

Ming at a research conference

Ming Gu

Dept of Mathematics

mathematics, scientific computing, numerical linear algebra, convex optimization

Dept of Industrial Engineering & Operations Research

control theory, optimization, power systems

Division of Electrical Engineering (EECS)

optoelectronics, quantum optics, optimization, antenna, Biophysics and Sensing

James A. Sethian

Dept of Mathematics

mathematics, applied mathematics, partial differential equations, computational physics, level set Methods, computational fluid mechanics and materials sciences, fast marching methods

Duncan Callaway in outdoor setting

Duncan Callaway

Dept of Energy & Resources Group

Division of Electrical Engineering (EECS)

energy systems analysis, grid decarbonization, modeling and control and optimization for electric power systems

Dept of Industrial Engineering & Operations Research

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

Alexandre Bayen

Alexandre Bayen

Division of Electrical Engineering (EECS)

control, optimization, machine learning, applications: transportation; mobile sensing; connected health

Kathy Yelick in outdoor setting wearing fuscia-colored coat

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

Picture of Prof. Per-Olof Persson

Per-Olof Persson

Dept of Mathematics

numerical methods, numerical linear algebra, computational fluid and solid mechanics, mesh generation, machine learning

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

Frederic Theunissen

Frederic Theunissen

Dept of Integrative Biology

Dept of Neuroscience

behavior, cognition, brain, psychology, birdsong, vocal learning, audition, neurophysiology, speech perception, computational neuroscience, theoretical neuroscience

Dept of Chemistry

Dept of Molecular & Cell Biology

amino acids, determinants of protein structure and folding, biophysical, structural and computational techniques, translocation, protein synthesis