Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

Pieter Abbeel

Division of Computer Science (EECS)

robotics, machine learning, artificial intelligence, Deep Learning

Kurt Keutzer

Division of Electrical Engineering (EECS)

computationally efficient machine learning and deep learning, AI

Avideh Zakhor

Division of Electrical Engineering (EECS)

signal processing, image processing, computer vision, Deep Learning

Mohammad Reza Kaazempur Mofrad

Dept of Bioengineering

Dept of Mechanical Engineering

molecular cell biomechanics, bacterial communities / microbiomes, deep learning for biology and medicine

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

Lexin Li

School of Public Health

neuroimaging data analysis, deep brain stimulation, brain-computer-interface, statistical machine learning, Deep Learning, reinforcement learning, networks data analysis, functional data analysis, tensor analysis, ordinary differential equations, dimension reduction, high dimensional inference

Gašper Beguš

Dept of Linguistics

computational linguistics, machine learning, artificial intelligence, Generative AI, Deep Learning, speech processing, NLP, phonology, articulatory and acoustic phonetics, historical linguistics, Indo-European linguistics

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

Richard Allen

Dept of Earth and Planetary Science

Seismology, earthquakes, earthquake hazard mitigation, deep earth structure & dynamics, tomography, natural hazards

Peter Bartlett

Dept of Statistics

Division of Computer Science (EECS)

machine learning, statistical learning theory, adaptive control

Dan Feldman

Dept of Molecular & Cell Biology

Dept of Neuroscience

neurobiology, learning, neurophysiology, sensory biology

Song Mei

Dept of Statistics

data science, statistics, machine learning

David Foster

Dept of Neuroscience

behavioral neurophysiology of spatial learning and memory, hippocampus replay, computational models of reinforcement learning and navigationf

Celeste Kidd

Dept of Psychology

attention, curiosity, learning, computational modeling, cognitive development, machine learning, belief formation

Vira Semenova

Dept of Economics

econometrics, machine learning

Barbara Romanowicz

Dept of Earth and Planetary Science

earth & planetary science, deep earth structure & dynamics, earthquake processes & scaling laws, real time estimation of earthquake parameters, development of modern broadband seismic and geophysical observatories, planetary seismology

Tesha Sengupta-Irving

School of Education

STEM education, learning sciences, inequality & resistance, politics of learning, case study & design-based research

Jacob Steinhardt

Dept of Statistics

artificial intelligence, machine learning

Kris D. Gutiérrez

School of Education

designed learning environments, Cultural dimensions of learning, language and literacy learning for dual language learners, biliteracy, new media literacies, the social organization of learning, ethnographic methodology and qualitative approaches to inquiry, design experiment/social design experiments, education of Latino, immigrant, migrant youth, urban education, teacher learning, educational and language policy

Marcia C. Linn

School of Education

artificial intelligence, technology, learning, mathematics, science, education, science teaching, gender equity, design of learning environments

Fei Xu

Dept of Psychology

cognitive development, language development, learning mechanisms, statistical learning and statistical inference, conceptual development, developmental psychology, word learning, physical reasoning, social cognition in infants and children, learning in infants and young children, computational models of cognitive development, cognitive development and AI models, psychology and philosophy

Huiwen Jia

Dept of Industrial Engineering & Operations Research

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

Angjoo Kanazawa

Division of Computer Science (EECS)

CS-vision, graphics, machine learning

Alan H. Schoenfeld

School of Education

thinking, teaching, learning, productive learning environments, professional development, mathematics education, modeling thinking and decision making

Benjamin Recht

Division of Computer Science (EECS)

machine learning, data science, artificial intelligence

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