Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

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

Dept of Linguistics

meaning, grammar, endangered languages, Native American languages, semantics, syntax, word structure, language universals, language variation, Nez Perce language

Photo of Professor Rachel Gershon at Haas

Haas School of Business

consumer judgements and choice, impression management, incentives, prosocial behavior, word of mouth, social consumption, corporate social responsibility

Dept of Statistics

Division of Computer Science (EECS)

machine learning, statistical learning theory, adaptive control

Pieter Abbeel with PR2 robot

Division of Computer Science (EECS)

robotics, machine learning, artificial intelligence, Deep Learning

Division of Electrical Engineering (EECS)

computationally efficient machine learning and deep learning, AI

Dept of Scandinavian

Danish literature, 19th and 20th Century Scandinavian literature, literary history, gender and literature, word and image, archaeology in literature and visual art, death and the arts, ecology and ice art

Dan Feldman photo

Dan Feldman

Dept of Molecular & Cell Biology

Dept of Neuroscience

neurobiology, learning, neurophysiology, sensory biology

Dept of Psychology

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

Dept of Neuroscience

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

Dept of Economics

econometrics, machine learning

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

Jacob Steinhardt

Jacob Steinhardt

Dept of Statistics

artificial intelligence, machine learning

Song Mei

Dept of Statistics

data science, statistics, machine learning

School of Education

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

Dept of Environmental Science, Policy & Management

chemicals policy and politics, sustainable food systems, environmental STS, sustainability transitions, sustainability learning and societal change

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

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

Glynda Hull

School of Education

language, culture, society, education, literacy, writing in and out of schools, multi-media technology, new literacies, adult learning, work, community, school, university collaborations

Aditi Krishnapriyan

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

School of Public Health

machine learning, medicine, health policy

Division of Computer Science (EECS)

machine learning, society, decision-making