Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

Ahmed Alaa

Computational Precision Health Program

machine learning and artificial intelligence, health care, statistics

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

Roberto Horowitz

Roberto Horowitz

Dept of Mechanical Engineering

adaptive control, machine learning, learning and nonlinear control, control of robot manipulators, computer mechatronics systems, micro-electromechanical systems (MEMS), intelligent vehicle, highways systems

Dept of Economics

econometrics, machine learning

School of Public Health

machine learning, medicine, health policy

Division of Computer Science (EECS)

machine learning, society, decision-making

School of Education

knowledge representation, adaptive learning, artificial intelligence, learning analytics, Recommender Systems, higher education, data science, Digital Learning Environments, cognitive modeling, Big Data in Education, Knowledge Tracing, Formative Assessment, intelligent tutoring systems, Online Learning, psychometrics, Educational Data Mining

Bin Yu

Dept of Statistics

machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, climate science

Division of Computer Science (EECS)

machine learning, data science, artificial intelligence

Dept of Neuroscience

School of Optometry

cognitive neuroscience, pharmacology, psychedelics, learning, attention, visual perception, neuroimaging

School of Education

mathematical cognition, design-based research, mixed-media design for mathematics learning environments, embodied interaction

Dept of Statistics

causal inference, machine learning, nonparametric statistics, responsible AI, algorithmic fairness

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Division of Computer Science (EECS)

data science, machine learning, inequality, Healthcare

Kannan Ramchandran

Kannan Ramchandran

Division of Computer Science (EECS)

Division of Electrical Engineering (EECS)

statistical and sparse signal processing, adversarial and distributed machine learning, coded computing, privacy and security, scalable distributed video-on-demand delivery, coding theory, communications, information theory, peer-to-peer networking, blockchains

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

John Wright

Division of Computer Science (EECS)

quantum state learning, quantum complexity theory, property testing, approximation algorithms

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

Michael DeWeese

Dept of Neuroscience

Dept of Physics

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

Negar Mehr

Dept of Mechanical Engineering

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

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

Photo Berkeley Library

Dept of Linguistics

computational linguistics, machine learning, artificial intelligence, Generative AI, Deep Learning, speech processing, NLP, phonology, articulatory and acoustic phonetics, historical linguistics, Indo-European linguistics

Eileen Gambrill

Eileen D. Gambrill

School of Social Welfare

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