Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

Thomas Courtade

Division of Electrical Engineering (EECS)

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

Marcia C. Linn

School of Education

artificial intelligence, technology, learning, mathematics, science, education, science teaching, gender equity, design of learning environments

Egyptian Museum Turin, facsimile of the Book of the Dead of Iuefankh

Rita Lucarelli

Dept of Middle Eastern Languages & Cultures

Egyptology, Egyptian, afrofuturism, magic, demonology, digital humanities, 3D modeling, virtual reality, prison higher education, ritual and religion

David Holtz

Haas School of Business

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

Paul Schwartz

School of Law

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

Clancy Wilmott

Dept of Geography

critical cartography, media geographies, critical GIS and data studies, cultural memory and landscape, politics of representation - textualization - and visuality, digitalities

Greg Niemeyer

Dept of Art Practice

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

Glynda Hull

School of Education

language, culture, society, education, literacy, writing in and out of schools, multi-media technology, new literacies, adult learning, work, community, school, university collaborations

Haiyan Huang

Dept of Statistics

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

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

Aditya Parameswaran

Division of Computer Science (EECS)

School of Information

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

Tesha Sengupta-Irving

School of Education

STEM education, learning sciences, inequality & resistance, politics of learning, case study & design-based research

Streets in his Stanley Hall Laboratory. Photo credit: Michelle Tran

Aaron Streets

Dept of Bioengineering

bioengineering, computational biology, biophysics, data science, microfluidics, microscopy, genomics

Armando Fox

Division of Computer Science (EECS)

online education, MOOC, blended learning, parallel programming, software engineering, Web development

Scott Moura

Dept of Civil and Environmental Engineering

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

John Connelly

Dept of History

modern East and Central European political and social history, comparative education, history of nationalism and racism, history of Catholicism, Late Modern Europe

Bruce Fuller

School of Education

policy analysis and evaluation, reform issues, charter schools, child care, early childhood development, economy and education

Ryan Tibshirani

Dept of Statistics

statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning

Rucker Johnson

Goldman School of Public Policy

labor and employment, race, poverty, inequality, economics of education, health disparities, social welfare policy

Katherine A. Yelick

Division of Computer Science (EECS)

high performance computing, partitioned Global Address Space programming, communication-avoiding algorithms, automatic performance tuning, high performance data analytics, computational biology

Elliot Turiel

School of Education

development, education, cognition, human development, development of social judgments and action, the development of moral reasoning, children’s conceptions of authority, rules in school settings, culture and social development

Kam-Biu Luk

Dept of Physics

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

Daniel Siefman

Dept of Nuclear Engineering

neutronics, criticality safety, nuclear data validation, machine learning, neutron noise, reactor dosimetry

Joshua Bloom

Dept of Astronomy

machine learning, gamma-ray bursts, supernovae, time-domain astronomy, data-driven discovery

Susan Irene Stone

School of Social Welfare

school-based psycho-social services, school-effects, archival data analysis, community development, organizational development, policy development

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