Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

Angjoo Kanazawa

Division of Computer Science (EECS)

CS-vision, graphics, machine learning

Avideh Zakhor

Division of Electrical Engineering (EECS)

signal processing, image processing, computer vision, Deep Learning

Alan H. Schoenfeld

School of Education

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

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

Ziad Obermeyer

School of Public Health

machine learning, medicine, health policy

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

Moritz Hardt

Division of Computer Science (EECS)

machine learning, society, decision-making

Professor Gronert in Front of a Mass Spectrometer

Karsten Gronert

School of Optometry

inflammatory diseases, innate immune responses, lipid mediators, lipidomics, leukocytes, inflammatory resolution, eicosanoids, omega-3 PUFA, Dry Eye, lipxoygenase, cycloooxygenase, resolution pharmacology, neuroprotection, adaptive immunity, glaucoma

Jennifer Listgarten

Division of Computer Science (EECS)

artificial intelligence, machine learning, computational biology, protein engineering, statistical design of experiments, statistical machine learning, experimental design

Sara McMains

Dept of Mechanical Engineering

geometric and solid modeling, general purpose computation on the GPU (GPGPU), CAD/CAM, computational geometry, computer graphics and visualization, tool path planning, additive manufacturing, computer vision, Deep Learning

Xiudi Li

School of Public Health

causal inference, data integration, federated learning and transfer learning, electronic health records, clinical trials, High Dimensional Data Analysis

Benjamin Recht

Division of Computer Science (EECS)

machine learning, data science, artificial intelligence

Emma Pierson

Division of Computer Science (EECS)

data science, machine learning, inequality, Healthcare

Uros Seljak

Dept of Physics

astrophysics, cosmology, machine learning, Bayesian statistics

Nikita Zhivotovskiy

Dept of Statistics

mathematical statistics, applied probability, statistical learning theory

Anne Collins

Dept of Psychology

learning, decision making, computational modeling, executive functions

Paul Grigas

Dept of Industrial Engineering & Operations Research

optimization, machine learning, data-driven decision-making

Ahmed Alaa

Computational Precision Health Program

machine learning and artificial intelligence, health care, statistics

Diag Davenport

Goldman School of Public Policy

School of Information

applied microeconomics, behavioral science, machine learning

Alper Atamturk

Dept of Industrial Engineering & Operations Research

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

Ali Kakhbod

Haas School of Business

financial economics, big data, machine learning, information frictions

Yun S. Song

Dept of Statistics

Division of Computer Science (EECS)

computational biology, machine learning, applied probability and statistics

Shachar Kariv

Dept of Economics

economics, experimental economics, behavioral economics, networks, microeconomic theory, social learning

Gerbrand Ceder

Dept of Materials Science and Engineering

energy storage, computational modeling, machine learning, autonomous laboratories

William (Bill) D. Thompson

Dept of Psychology

cognition, cognitive science, artificial intelligence, learning, Problem solving, Reasoning, decision-making, Bayesian statistics, natural language processing, machine learning, computational modeling, collective decision-making, social networks

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