Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

Negar Mehr

Dept of Mechanical Engineering

robotics, control theory, artificial intelligence, game theory, machine learning

Goldman School of Public Policy

School of Information

applied microeconomics, behavioral science, machine learning

Blumenstock speaking at a conference

Joshua Blumenstock

School of Information

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

Park Sinchaisri

Park Sinchaisri

Haas School of Business

operations management, operations research, machine learning, human-computer interaction, decision-making, behavioral science, behavioral economics, service operations, applied econometrics

Daniel Siefman in outside setting

Dept of Nuclear Engineering

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

Anil Aswani in outside setting

Anil Aswani

Dept of Industrial Engineering & Operations Research

machine learning and artificial intelligence, precision health, optimization, statistics

School of Public Health

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

Alberto Sangiovanni-Vincentelli sitting with hand extended in front of diagram.

Alberto Sangiovanni-Vincentelli

Division of Electrical Engineering (EECS)

Cyber-Physical Systems, System design, Electronic Design Systems, embedded system design, control, integrated circuits, theory, Machine learning applications to Energy Efficient Building and Health

Ying Cui

Dept of Industrial Engineering & Operations Research

continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence

Adrian Aguilera standing in an office

Adrian Aguilera

Computational Precision Health Program

School of Social Welfare

digital health, depression interventions, cognitive behavioral therapy, health equity, machine learning, implementation science

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

Division of Computer Science (EECS)

theory, algorithms, streaming algorithms, dimensionality reduction, randomized algorithms, machine learning, privacy

Biwen Zhang standing in outside location

Biwen Zhang

Haas School of Business

capital markets, conflicts of interest, financial intermediation, machine learning

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

Photo of Deirdre K. Mulligan

Deirdre Mulligan

School of Information

information policy, law, privacy, security, machine learning and artificial intelligence

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

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

Alexandre Bayen

Alexandre Bayen

Division of Electrical Engineering (EECS)

control, optimization, machine learning, applications: transportation; mobile sensing; connected health

Dept of Industrial Engineering & Operations Research

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

Avi Feller

Dept of Statistics

Goldman School of Public Policy

applied statistics, theoretical statistics, Bayesian statistics, machine learning, statistics in social sciences

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

Dawn Song

Division of Computer Science (EECS)

privacy, computer security, artificial intelligence

Dept of Statistics

machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics

Dept of Neuroscience

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

Dept of Statistics

statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology

Dept of Astronomy

machine learning, gamma-ray bursts, supernovae, time-domain astronomy, data-driven discovery