Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

Paul Grigas

Dept of Industrial Engineering & Operations Research

optimization, machine learning, data-driven decision-making

Aditya Parameswaran

Aditya Parameswaran

Division of Computer Science (EECS)

School of Information

database management systems, human-computer interaction, data science, information visualization

Robert Anderson

Robert M. Anderson

Dept of Economics

finance, probability theory, mathematical economics, nonstandard analysis

Dept of Industrial Engineering & Operations Research

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

Sung-Jin Oh

Dept of Mathematics

mathematical analysis, nonlinear partial differential equations

Division of Computer Science (EECS)

machine learning, data science, artificial intelligence

Dept of Art Practice

art, digital media installations, photography, data science, new technology, video games

Division of Computer Science (EECS)

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

Richard H. Bamler

Richard H. Bamler

Dept of Mathematics

geometric analysis, differential geometry, topology

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

School of Education

knowledge representation, adaptive learning, artificial intelligence, learning analytics, Recommender Systems, higher education, data science, Digital Learning Environments, cognitive modeling, Big Data in Education, Knowledge Tracing, Formative Assessment, intelligent tutoring systems, Online Learning, psychometrics, Educational Data Mining

Haas School of Business

behavior economics, economic analysis, Online Markets, economics, strategy

Michael Lindsey

Michael J. Lindsey

Dept of Mathematics

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

John Lott

Dept of Mathematics

differential geometry, geometric analysis, geometry/topology

privacy, information privacy law, data protection law, law and technology

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

Daniel Siefman in outside setting

Dept of Nuclear Engineering

neutronics, criticality safety, nuclear data validation, machine learning, neutron noise, reactor dosimetry

Scott Moura

Dept of Civil and Environmental Engineering

control systems, optimization, data science, batteries, electric vehicles, energy systems

Thomas Courtade

Thomas Courtade

Division of Electrical Engineering (EECS)

information theory, probability, data compression, communications, computer science

Sophia Rabe-Hesketh

Sophia Rabe-Hesketh

School of Education

biostatistics, educational statistics, latent variable models, missing data methods, multilevel models, generalized linear latent and mixed models, hierarchical models, longitudinal data, Item response models, structural equation models

Peng Ding

Dept of Statistics

Statistical causal inference, missing data, Bayesian statistics, applied statistics

Streets in his Stanley Hall Laboratory. Photo credit: Michelle Tran

Dept of Bioengineering

bioengineering, computational biology, biophysics, data science, microfluidics, microscopy, genomics

Dept of Environmental Science, Policy & Management

theoretical ecology, stochastic processes, optimal control, decision theory, ecoinformatics, data science, tipping points

phoro of Jitomirskaya

Svetlana Jitomirskaya

Dept of Mathematics

mathematical analysis, probability, dynamical systems

Satish Rao

Division of Computer Science (EECS)

combinatorial optimization, design and analysis of algorithms