Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

Lia Scott

School of Public Health

breast cancer, structural racism as predictor of breast cancer, spatial epidemiologic methods

Hayden Taylor

Dept of Mechanical Engineering

manufacturing, microfabrication, nanofabrication, semiconductor manufacturing, computational mechanics, nanoimprint lithography

Amitai Shenhav

Dept of Psychology

cognitive neuroscience, motivation, decision-making, executive functions, computational modeling

person with dark glasses standing with water in background

Peter Sudmant

Dept of Integrative Biology

genomics, genetics, computational biology, structural variation, RNA, diversity, aging, population genetics

Michael J. Lindsey

Dept of Mathematics

applied mathematics, mathematical analysis, probability, numerical analysis, optimization, Monte Carlo methods

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

Aaron Streets

Dept of Bioengineering

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

Celeste Kidd

Dept of Psychology

attention, curiosity, learning, computational modeling, cognitive development, machine learning, belief formation

Michael O'Hare

Goldman School of Public Policy

public policy, quantitative methods, environmental policy, public management, arts policy

Ryan Giordano

Dept of Statistics

machine learning, variational inference, Bayesian methods, robustness quantification, applied statistics

Max Buchholz

Dept of City & Regional Planning

urban and regional economics, social and spatial inequality, urbanization, segregation, quantitative methods

Stuart J. Russell

Division of Computer Science (EECS)

artificial intelligence, computational biology, algorithms, machine learning, real-time decision-making, probabilistic reasoning

Burkhard Militzer

Dept of Earth and Planetary Science

density functional methods, equation of state calculations, planetary interiors, materials at high pressure, theoretical mineral physics, path integration Monte Carlo, planet formation, quantum Monte Carlo method

Ken Kamrin

Dept of Mechanical Engineering

solid and fluid mechanics, constitutive modeling, computational mechanics, physical applied mathematics

David Holtz

Haas School of Business

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

Rikky Muller

Division of Electrical Engineering (EECS)

integrated circuits, biosystems and computational biology, micro/nano electro mechanical systems

Andrea A. diSessa

School of Education

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

Jacob (Jake) Grumbach

Goldman School of Public Policy

democracy, labor and employment, racial justice, quantitative methods, public policy, political economy, federalism

Frederic Theunissen

Dept of Integrative Biology

Dept of Neuroscience

behavior, cognition, brain, psychology, birdsong, vocal learning, audition, neurophysiology, speech perception, computational neuroscience, theoretical neuroscience

Christian Paiz

Dept of Ethnic Studies

comparative Latino studies, United States history, social movement history, historical methods

Mathijs De Vaan

Haas School of Business

network analysis, health care management, economic sociology, research design and empirical methods

Robert Van Houweling

Dept of Political Science

Congress, political parties, voting behavior, spatial models of candidate competition, experimental methods

Patricia Baquedano-López

School of Education

migration, diaspora, Indigenous language revitalization, decolonization, race and language, qualitative methods, ethnography

Marion Fourcade

Dept of Sociology

culture, social theory, political sociology, economic sociology, comparative methods, knowledge and science

Sara McMains

Dept of Mechanical Engineering

geometric and solid modeling, general purpose computation on the GPU (GPGPU), CAD/CAM, computational geometry, computer graphics and visualization, tool path planning, additive manufacturing, computer vision, Deep Learning

Thomas Schutzius

Dept of Mechanical Engineering

nanoscale transport phenomena, micro/nanofabrication techniques, interfacial optical methods, thermodynamic and interfacial modeling

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