Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

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

Anne E. Cunningham

Anne E. Cunningham

School of Education

education, literacy, reading development, children and technology, teacher professional development

Rhona S. Weinstein

Rhona S. Weinstein

Dept of Psychology

community psychology, educational inequality and the achievement gap, teacher expectations and self-fulfilling prophecies, classroom and school reform

Dept of Statistics

Division of Computer Science (EECS)

machine learning, statistical learning theory, adaptive control

Keynote Address Region Nine Head Start Association Family Engagement and Cultural Effectiveness Conference, Kona, HI.

Travis J. Bristol

Dept of African American Studies

School of Education

race and gender, urban schooling, organizational contexts of teachers' work, educational equity, African American students in schools

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

Tesha Sengupta-Irving

School of Education

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

School of Education

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

Dan Feldman photo

Dan Feldman

Dept of Molecular & Cell Biology

Dept of Neuroscience

neurobiology, learning, neurophysiology, sensory biology

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

Dept of Psychology

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

Jacob Steinhardt

Jacob Steinhardt

Dept of Statistics

artificial intelligence, machine learning

Song Mei

Dept of Statistics

data science, statistics, machine learning

Jesse Rothstein

Dept of Economics

Goldman School of Public Policy

labor economics, inequality, education policy, unemployment, tax policy, local public finance, teacher quality, segregation, economics of education, labor market, public impact research/scholarship, research practice partnership, partnership research, higher education

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

Alan H. Schoenfeld

Alan H. Schoenfeld

School of Education

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

Angjoo Kanazawa

Angjoo Kanazawa

Division of Computer Science (EECS)

CS-vision, graphics, machine learning

Division of Electrical Engineering (EECS)

signal processing, image processing, computer vision, Deep Learning

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

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