Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

Fumi Okiji

Dept of Rhetoric

Black study, Frankfurt School Critical Theory, sound and music studies, aesthetics

Michelle Wilkerson

Michelle Wilkerson

School of Education

K-12 math and science education, science education, mathematics education, computing education, design-based research, computers in K-12 education, data literacy, data science education

David Holtz

Haas School of Business

online marketplaces and platforms, computational social science, data science, experimental economics

Xiudi Li

School of Public Health

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

Haas School of Business

labor markets, human resources, data analysis and statistical methods

Person placeholder image

Division of Computer Science (EECS)

data science, machine learning, inequality, Healthcare

Dept of Anthropology

media, music, Indigenous Australia, ethnographic film, cinema, urban studies, fire ecology

Dept of Political Science

causal inference, survey data analysis

Paul Grigas

Dept of Industrial Engineering & Operations Research

optimization, machine learning, data-driven decision-making

Division of Computer Science (EECS)

machine learning, data science, artificial intelligence

Dept of Theater, Dance, and Performance Studies

theater, Playwriting, Indie Film, New Music Opera, Asian American, Japanese American

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

Bin Yu

Dept of Statistics

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

Dept of Statistics

applied statistics, functional genomics, translational bioinformatics, high dimensional and integrative genomic/genetic data analysis, network modeling, hierarchical multi-lable classification

Aditya Parameswaran

Aditya Parameswaran

Division of Computer Science (EECS)

School of Information

database management systems, human-computer interaction, data science, information visualization

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

privacy, information privacy law, data protection law, law and technology

Scott Moura

Dept of Civil and Environmental Engineering

control systems, optimization, data science, batteries, electric vehicles, energy systems

Thomas Courtade

Thomas Courtade

Division of Electrical Engineering (EECS)

information theory, probability, data compression, communications, computer science

Sophia Rabe-Hesketh

Sophia Rabe-Hesketh

School of Education

biostatistics, educational statistics, latent variable models, missing data methods, multilevel models, generalized linear latent and mixed models, hierarchical models, longitudinal data, Item response models, structural equation models

Sandrine Dudoit

Sandrine Dudoit

Dept of Statistics

School of Public Health

statistics, machine learning, data science, applied statistics, statistical computing, computational biology, computational genomics, Precision Medicine, precision health

Dept of Art Practice

art, digital media installations, photography, data science, new technology, video games

Dept of Industrial Engineering & Operations Research

data mining, integer programming, discrete optimization, network flow techniques, clustering, image segmentation, machine vision, pattern recognition

Dept of Environmental Science, Policy & Management

theoretical ecology, stochastic processes, optimal control, decision theory, ecoinformatics, data science, tipping points

Peng Ding

Dept of Statistics

Statistical causal inference, missing data, Bayesian statistics, applied statistics