Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

Photo of Abhishek Nagaraj in outside setting.

Abhishek Nagaraj

Haas School of Business

innovation, entrepreneurship, big data, cartography

Ali Kakhbod

Haas School of Business

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

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

Lee Fleming

Dept of Industrial Engineering & Operations Research

commercializing breakthroughs, invention, innovation, patents, big data, ethics and technology, leadership

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

Division of Computer Science (EECS)

program analysis, program synthesis, database application performance, big systems, big data, database management, database management systems, database design and construction, programming languages and compilers, programming languages

Dept of Statistics

data science, Educational Data Science, scientific computing

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

Cati V. de los Ríos

Cati V. de los Ríos

School of Education

literacy, bi/multilingual education

Dana Miller-Cotto

School of Education

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

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

Bin Yu

Dept of Statistics

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

Elizabeth Purdom

Elizabeth Purdom

Dept of Statistics

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

School of Education

educational leadership, policy analysis, critical theory, educational equity

School of Education

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

Xin Guo

Dept of Industrial Engineering & Operations Research

stochastic control and games, theory of machine learning and applications to medical and financial data analysis, applied probability and stochastic models

Jose Eos Trinidad

School of Education

education policy, institutional change, organizational theory, civil society, sociology of education

Kam-Biu Luk

Dept of Physics

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

Song Mei

Dept of Statistics

data science, statistics, machine learning

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

Dept of Statistics

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

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Division of Computer Science (EECS)

data science, machine learning, inequality, Healthcare

Andrea A. diSessa

School of Education

education, cognition, conceptual development, science education, design of technology for education, computational literacies

Dept of Environmental Science, Policy & Management

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