Find UC Berkeley Faculty

Research Expertise and Interest

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Name

Department

Barbara Abrams

School of Public Health

obesity, maternal and child health, epidemiology, nutrition, health disparities, pregnancy

Barbara Laraia

School of Public Health

nutrition, obesity, Food Insecurity, Perinatal Health, diabetes

Jitendra Malik

Division of Computer Science (EECS)

computer science, electrical engineering, vision science, computer vision, robotics

Joshua Gang

Dept of English

20th century Irish and British literature, literature and philosophy, 20th century literature, history of literary theory, the novel, literature and the sciences of mind, close reading, philosophy of literature, philosophy of mind, moral philosophy

Presenting on Food Systems in Africa forum

Isabel Madzorera

School of Public Health

global health, nutrition, diet quality, maternal and child health, food systems, global climate change

Massimo Mazzotti

Dept of History

history of science, History of Mathematics, history of technology, science and society, science studies, STS

Hannah R Thompson

School of Public Health

epidemiology, physical activity, nutrition and health, childhood and youth, health disparities, school/community partnerships, participatory research, public education, physical education

Kristine Madsen

School of Public Health

health disparities, children, schools, policy, nutrition, physical activity, obesity, accelerometers, physical education

Ronald Amundson

Dept of Environmental Science, Policy & Management

soils, environmental science, isotope biogeochemistry, pedology, environmental history & ethics, soilsbiogeochemistry, ecosystems

Lab principal investigator wearing a hard hat carrying a cooler of samples in a forest

Benjamin Wong Blonder

Dept of Environmental Science, Policy & Management

climate change, science education

Marcia C. Linn

School of Education

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

Bin Yu

Dept of Statistics

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

Mark Asta

Dept of Materials Science and Engineering

computational materials science

Verónica Gómez Sánchez

Dept of Philosophy

philosophy of science, metaphysics, cognitive science

Steven Weber

Dept of Political Science

School of Information

political science, international security, international political economy, information science

Daryl C. Chrzan

Dept of Materials Science and Engineering

materials science and engineering, computational materials science, metals and metallic compounds, defects in solids, growth of nanostructures

Chi-Yuen Wang

Dept of Earth and Planetary Science

earth & planetary science

Mary K. Firestone

Dept of Environmental Science, Policy & Management

soils, miicrobial biology, environmental science

Jennifer Chayes

Dept of Mathematics

Dept of Statistics

Division of Computer Science (EECS)

phase transitions in computer science, structural and dynamical properties of networks, graphons, machine learning, ethical decision making, climate change

Joseph M. Hellerstein

Division of Computer Science (EECS)

computer science, database systems, distributed systems

Emma Pierson

Division of Computer Science (EECS)

data science, machine learning, inequality, Healthcare

Andreas Stahl

Dept of Nutritional Sciences & Toxicology

metabolism, obesity, adipose tissue, brown fat, thermogenesis, tissue engineering, diabetes, fatty acid transport, fatty acid, stem cells, microphysiological systems, lipid nanoparticles, liver disease

Fernando Perez

Dept of Statistics

data science, Educational Data Science, scientific computing

Richard S. Dodd

Dept of Environmental Science, Policy & Management

environmental policy, environmental science, forestry, wildlife, plant biology

Michael Jordan

Dept of Statistics

Division of Computer Science (EECS)

computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization

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