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

Gerald Westheimer

Gerald Westheimer

Dept of Molecular & Cell Biology

Dept of Neuroscience

neurobiology; psychophysics, primate visual cortex, neural circuits, brain mechanisms, response modifications, active perception, learning, stereoscopic vision, optometryoptics of the eye, ophthalmic instrumentation

Lining Yao

Dept of Mechanical Engineering

sustainable design, morphing material mechanisms, ecology, sustainability

John W. Morris, Jr

Dept of Materials Science and Engineering

structural materials, computational materials, the limits of strength, deformation mechanisms, non-destructive testing with SQUID microscopy, mechanisms of grain refinement in high strength steels, lead-free solders for microelectronics

Khalid M. Mosalam

Khalid M. Mosalam

Dept of Civil and Environmental Engineering

bridges, concrete and masonry structures, damage mechanics, earthquake engineering, fracture mechanics, machine learning

Division of Computer Science (EECS)

artificial intelligence, machine learning, theoretical computer science, game theory and mechanism design

Dept of Environmental Science, Policy & Management

Dept of Molecular & Cell Biology

genetics, neuroanatomy, electrophysiology, mechanisms of nervous system structure and function, drosophila mutants

Michael DeWeese

Dept of Neuroscience

Dept of Physics

machine learning, computation, systems neuroscience, auditory cortex, neural coding, statistical mechanics

Robert G. Bergman

Dept of Chemistry

organic and inorganic chemistry: synthesis and reaction mechanisms, organotransition metal compounds, homogeneous catalysis

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

Kunxin Luo

Dept of Molecular & Cell Biology

signal transduction pathways, mechanisms controlling the receptor kinases, regulation of mammary epithelial cell differentiation, breast carcinogenesis

Dept of Chemistry

physical chemistry, intracellular signal transduction mechanisms, physical chemistry of cell membranes, single molecule imaging, stochastic processes

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

Tesha Sengupta-Irving

School of Education

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

Jacob Steinhardt

Jacob Steinhardt

Dept of Statistics

artificial intelligence, machine learning

Song Mei

Dept of Statistics

data science, statistics, machine learning

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

School of Education

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

Huiwen Jia

Dept of Industrial Engineering & Operations Research

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

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