Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

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

Dept of Statistics

data science, Educational Data Science, scientific computing

Kam-Biu Luk

Dept of Physics

physics, particle physics, neutrino oscillation, neutrino mixing parameters, nuclear instrumentation, data mining, neutrino physics

Dept of Industrial Engineering & Operations Research

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

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

Dana Miller-Cotto

School of Education

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

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

School of Education

educational equity, urban schooling, educational leadership, high stakes accountability, school improvement, educational policy, educational management and administration

School of Education

educational leadership, policy analysis, critical theory, educational equity

Woman wearing a red jumpsuit while presenting

Gina Garcia

School of Education

educational equity, educational justice, organizational theory

School of Education

Dept of African American Studies

educational policy, charter schools, politics of education, race and education, school choice, desegregation, philanthropy and education, advocacy

Paul Grigas

Dept of Industrial Engineering & Operations Research

optimization, machine learning, data-driven decision-making

Peng Ding

Dept of Statistics

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

Alice M. Agogino

Alice M. Agogino

Dept of Mechanical Engineering

intelligent learning systems, information retrieval and data mining, multiobjective and strategic product design, nonlinear optimization, probabilistic modeling, intelligent control and manufacturing, sensor validation and fusion and diagnostics, wireless sensor networks, multimedia and computer-aided design, design databases, design theory and methods, MEMS Synthesis and CAD, artificial intelligence and decision and expert systems, gender equity

Patrick Hsu in the lab

Patrick Hsu

Dept of Bioengineering

generative biology, language models, virtual cell models, genome mining and editing, synthetic biology, AI agents for science

Song Mei

Dept of Statistics

data science, statistics, machine learning

Photo of Abhishek Nagaraj in outside setting.

Abhishek Nagaraj

Haas School of Business

innovation, entrepreneurship, big data, cartography

Dept of Political Science

causal inference, survey data analysis

Keynote Address Region Nine Head Start Association Family Engagement and Cultural Effectiveness Conference, Kona, HI.

Travis J. Bristol

Dept of African American Studies

School of Education

race and gender, urban schooling, organizational contexts of teachers' work, educational equity, African American students in schools

Person placeholder image

Division of Computer Science (EECS)

data science, machine learning, inequality, Healthcare

Xiudi Li

School of Public Health

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

Mark van der Laan

Dept of Statistics

School of Public Health

targeted learning, real-world data integration in RCTs, sequential adaptive designs, computational biology and genomics, censored data and survival analysis, medical research, inference in longitudinal studies

Elizabeth Purdom

Elizabeth Purdom

Dept of Statistics

computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics

Division of Computer Science (EECS)

machine learning, data science, artificial intelligence

Ali Kakhbod

Haas School of Business

financial economics, liquidity, market microstructure, big data, contracts