Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

Dept of Chemistry

computational genomics, Genomic susceptibility of common diseases, Genomic Tree of Life, Demography of human genome diversity

Dept of Psychology

learning, decision making, computational modeling, executive functions

Uros Seljak in 2023

Uros Seljak

Dept of Physics

astrophysics, cosmology, machine learning, Bayesian statistics

Alane Suhr

Division of Computer Science (EECS)

artificial intelligence, natural language processing, machine learning, computer vision, computational linguistics

Michael DeWeese

Dept of Neuroscience

Dept of Physics

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

Ahmed Alaa

Computational Precision Health Program

machine learning and artificial intelligence, health care, statistics

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

Mohammad Reza Kaazempur Mofrad

Dept of Bioengineering

Dept of Mechanical Engineering

molecular cell biomechanics, bacterial communities / microbiomes, deep learning for biology and medicine

Division of Computer Science (EECS)

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

Eileen Gambrill

Eileen D. Gambrill

School of Social Welfare

social welfare, professional ethics and education, social learning theory, behavioral methods

School of Public Health

causal inference, targeted learning, statistical issues in epidemiology, precision medicine and public health

Jose M. Carmena

Division of Electrical Engineering (EECS)

brain-machine interfaces, neural ensemble computation, neuroprosthetics, sensorimotor learning and control

Frederic Theunissen

Frederic Theunissen

Dept of Integrative Biology

Dept of Neuroscience

behavior, cognition, brain, psychology, birdsong, vocal learning, audition, neurophysiology, speech perception, computational neuroscience, theoretical neuroscience

Christian H. Borgs

Christian Borgs

Division of Computer Science (EECS)

theoretical computer science, probability theory, combinatorics, complex networks, statistical physics, artificial intelligence, applications of artificial intelligence and machine learning in engineering and sciences

Goldman School of Public Policy

School of Information

applied microeconomics, behavioral science, machine learning

Dept of Materials Science and Engineering

energy storage, computational modeling, machine learning, autonomous laboratories

Daniel Siefman in outside setting

Dept of Nuclear Engineering

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

Dawn Song standing, framed by windows with large buildings in the background.

Dawn Song

Division of Computer Science (EECS)

privacy, computer security, artificial intelligence

Dana Miller-Cotto

School of Education

educational equity, early childhood education, cognitive processes, early math learning, social contexts of education

Yun S. Song

Dept of Statistics

Division of Computer Science (EECS)

computational biology, machine learning, applied probability and statistics

Blumenstock speaking at a conference

Joshua Blumenstock

School of Information

machine learning, development economics, poverty and public policy, inequality and crisis

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

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

School of Education

language, culture, society, literacy, literacy learning of urban youth, African American students in schools, writing development, effective teaching, learning strategies in multicultural urban schools and communities, studies of race - class - and gender, Leaders for Equity and Democracy EdD - LEAD

School of Public Health

Precision Medicine, causal inference, adaptive experiment, machine learning and artificial intelligence