Find UC Berkeley Faculty

Research Expertise and Interest

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

Name

Department

genetics, developmental biology, evolutionary biology, evolution, quantitative genetics, developmental genetics, evolutionary genetics, craniofacial development

Rachel Brem

Dept of Plant and Microbial Biology

molecular evolution, ecological genetics, genetics and genomics, fungal genetics

Daniel Rokhsar

Dept of Molecular & Cell Biology

genetics and genomics, evolution of animals, genetic diversity in animals and plants

Ian Wang

Dept of Environmental Science, Policy & Management

genetics and genomics, genomics, landscape genetics, evolution, population genetics, conservation, herpetology, GIS, spatial analysis, statistical methods, epigenetics

Hernan G Garcia

Dept of Molecular & Cell Biology

Dept of Physics

genetics, genomics, biophysics

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

Przemyslaw Jeziorski

Haas School of Business

quantitative marketing, industrial organization

Michael Nachman

Dept of Integrative Biology

population genetics, evolution, genomics, mammalian evolution

Priya Moorjani

Dept of Molecular & Cell Biology

Human evolutionary genetics, human genetics, ancient DNA, population genetics, statistical genetics

Dennis Feehan

Dept of Demography

demography, social networks, quantitative methodology

Ian Swinburne

Dept of Molecular & Cell Biology

vertebrate physiologies, quantitative cell biology, development biology

Elçin Ünal

Dept of Molecular & Cell Biology

gametogenesis, biology of aging, gene regulation, genetics, genomics and development

Lisa Barcellos

School of Public Health

public health, genetic epidemiology, human genetics, autoimmune diseases, Multiple Sclerosis, systemic lupus erythematosus, rheumatoid arthritis, epigenetics, genomics, computational biology

Rasmus Nielsen

Dept of Integrative Biology

Dept of Statistics

evolution, molecular evolution, population genetics, human variation, human genetics, phylogenetics, applied statistics, genetics, evolutionary processes, evolutionary biology

Andrew Dillin

Dept of Molecular & Cell Biology

endocrinology, genetics of aging

Max Buchholz

Dept of City & Regional Planning

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

Moi Exposito-Alonso

Dept of Integrative Biology

evolution, molecular genetics, genomics, plant biology, ecology, species adaptation or extinction, climate change

Michael O'Hare

Goldman School of Public Policy

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

Jacob (Jake) Grumbach

Goldman School of Public Policy

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

Noah Whiteman

Dept of Integrative Biology

Dept of Molecular & Cell Biology

adaptation, evolutionary biology, genomics, genetics, toxicology, insect biology, plant biology, microbiology, CRISPR-Cas9 genome editing

James Nuñez

Dept of Molecular & Cell Biology

genetics, epigenetics, CRISPR-based genome and epigenome editing

Justin Davidson

Dept of Spanish and Portuguese

Spanish linguistics, romance linguistics, contact linguistics, bilingualism, Catalan, sociophonetics, language variation and change, quantitative methods

Joshua Goldstein

Dept of Demography

mortality, fertility, aging, social inequality, mathematical demography, economic demography, quantitative methods, United States, Europe

Trond Petersen

Dept of Sociology

Haas School of Business

organizations, social stratification, inequality, economic sociology, comparative studies, quantitative methods, comparative gender in the workplace, hiring, promotions, wages

Nilah Ioannidis

Division of Computer Science (EECS)

computational biology, machine learning, artificial intelligence, genomics, personal genome interpretation, precision health, rare diseases, statistical genetics, molecular biology, biophysics

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