Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

Adityanand Guntuboyina

Adityanand Guntuboyina

Dept of Statistics

nonparametric and high-dimensional statistics, shape constrained statistical estimation, empirical processes, statistical information theory

Nikita Zhivotovskiy

Dept of Statistics

mathematical statistics, applied probability, statistical learning theory

Shirshendu Ganguly

Shirshendu Ganguly

Dept of Statistics

probability theory, statistical mechanics

Kannan Ramchandran

Kannan Ramchandran

Division of Computer Science (EECS)

Division of Electrical Engineering (EECS)

statistical and sparse signal processing, adversarial and distributed machine learning, coded computing, privacy and security, scalable distributed video-on-demand delivery, coding theory, communications, information theory, peer-to-peer networking, blockchains

Dept of Statistics

Division of Computer Science (EECS)

machine learning, statistical learning theory, adaptive control

Peng Ding

Dept of Statistics

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

Thomas Courtade

Thomas Courtade

Division of Electrical Engineering (EECS)

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

Oskar Hallatschek

Oskar Hallatschek

Dept of Physics

biophysics, evolutionary dynamics, soft matter, statistical physics, theory and experiments

John Chuang

Division of Electrical Engineering (EECS)

School of Information

climate informatics, biosensory computing, brainwave authentication, information economics and policy

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

Sandrine Dudoit

Sandrine Dudoit

Dept of Statistics

School of Public Health

statistics, machine learning, data science, applied statistics, statistical computing, computational biology, computational genomics, Precision Medicine, precision health

George A. Akerlof

George A. Akerlof

Dept of Economics

macroeconomics, monetary theory, behavioral economics, sociology and economics, theory of unemployment, asymetric information, staggered contract theory, money demand, labor market flows, theory of business cycles, economics of social customs, measurement of unemployment, economics of discrimination

Dept of Statistics

probability, mathematical probability, statistical mechanics

Haas School of Business

information dissemination, information cascades on social media, retail investor behavior, decentralized finance

Marc A. Rieffel

Marc A. Rieffel

Dept of Mathematics

mathematics, operator algebras, non-commutative geometry, non-commutative harmonic analysis, quantum geometry, quantum information theory

Anant Sahai

Division of Computer Science (EECS)

Division of Electrical Engineering (EECS)

machine learning, artificial intelligence, information theory, communications theory, wireless communication, cognitive radio, distributed control, spectrum sensing, spectrum sharing, spectrum policy, power consumption in communications systems

Christian H. Borgs

Christian Borgs

Division of Computer Science (EECS)

theoretical computer science, probability theory, combinatorics, complex networks, statistical physics, artificial intelligence, applications of artificial intelligence and machine learning in engineering and sciences

Jennifer Listgarten

Jennifer Listgarten

Division of Computer Science (EECS)

artificial intelligence, machine learning, computational biology, protein engineering, statistical design of experiments, statistical machine learning, experimental design

Photo of Deirdre K. Mulligan

Deirdre Mulligan

School of Information

information policy, law, privacy, security, machine learning and artificial intelligence

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

Yasunori Nomura

Dept of Physics

quantum gravity, cosmology, Theoretical Particle Physics, quantum information

Pamela Samuelson

Pamela Samuelson

public policy, intellectual property law, new information technologies, traditional legal regimes, information management, copyright, software protection and cyberlaw, AI govenance

photographed in front of the blackboard in his office

Dan-Virgil Voiculescu

Dept of Mathematics

operator algebras, free probability theory, random matrices, K-theory of operator algebras, single operator theory

Dept of Political Science

School of Information

political science, international security, international political economy, information science

Terrence Hendershott

Terrence Hendershott

Haas School of Business

management of information systems, role of information technology in financial markets, after-hours stock trading, electronic communications networks (ECNs), electronic markets