Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

Sugata Ray

Dept of History of Art

Dept of South and Southeast Asian Studies

climate change, early modern, South Asia, Southeast Asia, Indian Ocean, art history, environment, globalization, ecology, Eco Art History, global art history

Division of Computer Science (EECS)

machine learning, society, decision-making

Ignacio Navarrete

Ignacio Navarrete

Dept of Spanish and Portuguese

Spanish literature: poetry; poetic theory; narrative; and culture, history of the book, Cervantes, Don Quixote, Celestina, everyday life, medieval and early modern Spanish literature, modern Spain

Division of Computer Science (EECS)

machine learning, data science, artificial intelligence

Alan H. Schoenfeld

Alan H. Schoenfeld

School of Education

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

Division of Electrical Engineering (EECS)

signal processing, image processing, computer vision, Deep Learning

Dept of Psychology

learning, decision making, computational modeling, executive functions

Stuart Russell in outdoor environment

Stuart J. Russell

Division of Computer Science (EECS)

artificial intelligence, computational biology, algorithms, machine learning, real-time decision-making, probabilistic reasoning

Daniel Stolper in lab setting

Dept of Earth and Planetary Science

biogeochemistry, earth history, geobiology, global climate studies, organic geochemistry, stable isotope geochemistry

Jennifer Chayes

Jennifer Chayes

Dept of Mathematics

Dept of Statistics

Division of Computer Science (EECS)

phase transitions in computer science, structural and dynamical properties of networks, graphons, machine learning, ethical decision making, climate change

Dept of Statistics

Division of Computer Science (EECS)

machine learning, statistical learning theory, adaptive control

Tesha Sengupta-Irving

School of Education

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

Dan Feldman photo

Dan Feldman

Dept of Molecular & Cell Biology

Dept of Neuroscience

neurobiology, learning, neurophysiology, sensory biology

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

Kristie Boering in her UC Berkeley laboratory with graduate student Katie Mar

Kristie Boering

Dept of Chemistry

Dept of Earth and Planetary Science

physical chemistry, climate change, atmospheric chemistry, environmental chemistry, ozone, earth and planetary science, isotopic compositions of atmospheric trace gases, stratospheric ozone, carbon dioxide, nitrous oxide, molecular hydrogen, methane

Burgmann teaching EPS116 field trip at Moss Beach

Roland Bürgmann

Dept of Earth and Planetary Science

active tectonics, geophysics, geology, earth and planetary science, geomechanics, tectonics, Seismology, structural geology, fault zone processes, crustal deformation, space geodesy, natural hazards, landslides

Daniel Siefman in outside setting

Dept of Nuclear Engineering

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

Jennifer Miller

Jennifer Miller

Dept of English

Old English language and literature, textual criticism, drama, disability studies, gender and sexuality studies, cultural studies, Scottish literature, Renaissance and Early Modern literature, Middle English literature

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

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

Xin Guo

Dept of Industrial Engineering & Operations Research

stochastic control and games, theory of machine learning and applications to medical and financial data analysis, applied probability and stochastic models

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

Ryan Tibshirani giving a whiteboard talk

Ryan Tibshirani

Dept of Statistics

statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning

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

Dept of Economics

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