Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

School of Public Health

machine learning, medicine, health policy

Division of Computer Science (EECS)

machine learning, society, decision-making

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

Jennifer Listgarten

Jennifer Listgarten

Division of Computer Science (EECS)

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

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

David Bamman in office setting with bookcase in background

School of Information

natural language processing, machine learning, digital humanities, computational social science, data science

Xiudi Li

School of Public Health

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

Division of Computer Science (EECS)

machine learning, data science, artificial intelligence

Dana Miller-Cotto

School of Education

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

Person placeholder image

Division of Computer Science (EECS)

data science, machine learning, inequality, Healthcare

Uros Seljak in 2023

Uros Seljak

Dept of Physics

astrophysics, cosmology, machine learning, Bayesian statistics

Nikita Zhivotovskiy

Dept of Statistics

mathematical statistics, applied probability, statistical learning theory

Goldman School of Public Policy

School of Information

applied microeconomics, behavioral science, machine learning

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

Dept of Psychology

learning, decision making, computational modeling, executive functions

Dept of Industrial Engineering & Operations Research

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

Yun S. Song

Dept of Statistics

Division of Computer Science (EECS)

computational biology, machine learning, applied probability and statistics

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 Materials Science and Engineering

energy storage, computational modeling, machine learning, autonomous laboratories

Dept of Neuroscience

School of Optometry

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

Lexin Li

School of Public Health

neuroimaging data analysis, deep brain stimulation, brain-computer-interface, statistical machine learning, Deep Learning, reinforcement learning, networks data analysis, functional data analysis, tensor analysis, ordinary differential equations, dimension reduction, high dimensional inference

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

Manxi Wu

Dept of Civil and Environmental Engineering

game theory, multi-agent learning, transportation systems analysis

Biwen Zhang standing in outside location

Biwen Zhang

Haas School of Business

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