Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

Dept of Neuroscience

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

Dept of Civil and Environmental Engineering

earthquake engineering, structural engineering, reinforced concrete, performance-based earthquake engineering, high-rise buildings, lifeline systems, rehabilitation (retrofitting), laboratory testing

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

Division of Electrical Engineering (EECS)

signal processing, image processing, computer vision, Deep Learning

Song Mei

Dept of Statistics

data science, statistics, machine learning

Dept of Statistics

Division of Computer Science (EECS)

machine learning, statistical learning theory, adaptive control

Dan Feldman photo

Dan Feldman

Dept of Molecular & Cell Biology

Dept of Neuroscience

neurobiology, learning, neurophysiology, sensory biology

Pieter Abbeel with PR2 robot

Division of Computer Science (EECS)

robotics, machine learning, artificial intelligence, Deep Learning

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

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 Industrial Engineering & Operations Research

sparse learning, integer programming, computational optimization, robust optimization, logistics

Dept of Economics

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

School of Education

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

Tesha Sengupta-Irving

School of Education

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

Kris D. Gutiérrez

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

William (Bill) D. Thompson

Dept of Psychology

cognition, cognitive science, artificial intelligence, learning, Problem solving, Reasoning, decision-making, Bayesian statistics, natural language processing, machine learning, computational modeling, collective decision-making, social networks

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

Angjoo Kanazawa

Division of Computer Science (EECS)

CS-vision, graphics, machine learning

Ali Mesbah

Dept of Chemical & Biomolecular Engineering

model predictive control, learning-based control, low-temperature plasma processing, machine learning and control for plasmas, semiconductor manufacturing

Division of Electrical Engineering (EECS)

computationally efficient machine learning and deep learning, AI

Jacob Steinhardt

Jacob Steinhardt

Dept of Statistics

artificial intelligence, machine learning

Nikita Zhivotovskiy

Dept of Statistics

mathematical statistics, applied probability, statistical learning theory

Alan H. Schoenfeld

Alan H. Schoenfeld

School of Education

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

Dept of Psychology

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

Xiudi Li

School of Public Health

causal inference, data integration, federated learning and transfer learning, electronic health records, clinical trials, High Dimensional Data Analysis