Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

Diag Davenport

Goldman School of Public Policy

School of Information

applied microeconomics, behavioral science, machine learning

Robert L. Taylor

Dept of Civil and Environmental Engineering

computational mechanics, mechanics of solids, finite element methods, finite element software

John Wright

Division of Computer Science (EECS)

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

person with dark glasses standing with water in background

Peter Sudmant

Dept of Integrative Biology

genomics, genetics, computational biology, structural variation, RNA, diversity, aging, population genetics

David Holtz

Haas School of Business

online marketplaces and platforms, computational social science, data science, experimental economics

Rikky Muller

Division of Electrical Engineering (EECS)

integrated circuits, biosystems and computational biology, micro/nano electro mechanical systems

Irene Chen

Computational Precision Health Program

Division of Computer Science (EECS)

machine learning, personalized medicine and healthcare systems, global health equity, precision health

Ali Kakhbod

Haas School of Business

financial economics, big data, machine learning, information frictions

Andrea A. diSessa

School of Education

education, cognition, conceptual development, science education, design of technology for education, computational literacies

Roberto Horowitz

Dept of Mechanical Engineering

adaptive control, machine learning, learning and nonlinear control, control of robot manipulators, computer mechatronics systems, micro-electromechanical systems (MEMS), intelligent vehicle, highways systems

Maya L. Petersen

Computational Precision Health Program

School of Public Health

causal inference, precision health, Health AI, targeted learning, HIV, global health, pandemics

Nika Haghtalab

Division of Computer Science (EECS)

artificial intelligence, machine learning, theoretical computer science, game theory and mechanism design

Emily Cooper

School of Optometry

3D vision, depth perception, computational neuroscience, augmented and virtual reality, assistive technology

Shafi Goldwasser

Division of Computer Science (EECS)

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

Michael Silver

Dept of Neuroscience

School of Optometry

cognitive neuroscience, pharmacology, psychedelics, learning, attention, visual perception, neuroimaging

Richard H. Kramer

Dept of Neuroscience

Neurons, synaptic transmission, photopharmacology, ion channels, action potentials, optical imaging, vision, learning and memory, retina, neurodegenrative disease(1551)

Ren Ng

Division of Computer Science (EECS)

imaging systems, computational photography, graphics, optics, computer vision, human vision, signal processing, artificial intelligence

Shachar Kariv

Dept of Economics

economics, experimental economics, behavioral economics, networks, microeconomic theory, social learning

Jack L. Gallant

Dept of Neuroscience

computational neuroscience, vision science, attention, fMRI, language, natural scene perception, brain encoding, brain decoding

Anil Aswani

Dept of Industrial Engineering & Operations Research

machine learning and artificial intelligence, precision health, optimization, statistics

Armando Fox

Division of Computer Science (EECS)

online education, MOOC, blended learning, parallel programming, software engineering, Web development

Negar Mehr

Dept of Mechanical Engineering

robotics, control theory, artificial intelligence, game theory, machine learning

Chunlei Liu

Division of Electrical Engineering (EECS)

brain imaging, magnetic resonance imaging, remote neural modulation, biosystems and computational biology, signal processing

Manxi Wu

Dept of Civil and Environmental Engineering

game theory, multi-agent learning, transportation systems analysis

Biwen Zhang

Haas School of Business

capital markets, conflicts of interest, financial intermediation, machine learning

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