Directory

Eoin Brodie

BIDS Research Affiliate
Climate & Ecosystem Sciences Division, LBNL
Deputy Director, Climate & Ecosystem Sciences Division, LBNL

Eoin Brodie is a microbiologist and biogeochemist who works from molecular to ecosystem scales. He uses technologies to reverse-engineer complex microbiomes in natural and managed ecosystems.

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Bin Yu

BIDS Faculty Affiliate
Statistics, EECS, Center for Computational Biology, UC Berkeley
Professor and Second Chair, Departments of Statistics and EECS, UC Berkeley Principal Investigator, Center for Computational Biology, UC Berkeley Weill Neurohub Investigator, UC Berkeley / UCSF/ UW

Bin Yu is engaged in interdisciplinary research with scientists from genomics, neuroscience, and medicine. In order to solve data problems in these domain areas, her group employs quantitative critical thinking and develops statistical and machine learning algorithms and theory.

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Philip B. Stark

BIDS Faculty Affiliate
Statistics, UC Berkeley
Distinguished Professor of Statistics, UC Berkeley Co-I for Moore/Sloan Data Science Environments

Philip B. Stark's research centers on inference (inverse) problems and uncertainty quantification, especially confidence procedures tailored for specific goals. Applications include causal inference, the U.S. Census, climate modeling, cosmology, earthquake prediction and seismic hazard analysis, election auditing, endangered species, epidemiology, evaluating and improving teaching and educational technology, food web models, health effects of sodium, the geomagnetic field, geriatric hearing...

Sameer B. Srivastava

BIDS Faculty Affiliate
Haas School of Business, Sociology, Computational Culture Lab, Berkeley Culture Initiative, UC Berkeley
Associate Professor, Haas School of Business, UC Berkeley Harold Furst Chair in Management Philosophy and Values, Haas School of Business, UC Berkeley Ewald T. Grether Chair in Business Administration and Public Policy, Haas School of Business, UC Berkeley Co-Director, Computational Culture Lab, UC Berkeley Co-Director, Berkeley Culture Initiative, Haas School of Business, UC Berkeley

Sameer B. Srivastava's research unpacks the complex interrelationships among the culture of social groups, the cognition of individuals within these groups, and the connections...

Jasjeet Sekhon

BIDS Faculty Affiliate
Political Science and Statistics, UC Berkeley
Professor, Political Science and Statistics, UC Berkeley Co-PI for Moore/Sloan Data Science Environments

Jasjeet S. Sekhon's research focuses on methods for causal inference in observational and experimental studies and evaluating social science, public health and medical interventions. Professor Sekhon has done research on elections, voting behavior and public opinion in the United States, multivariate matching methods for causal inference, machine learning algorithms for irregular optimization problems, robust estimators with bounded influence functions, health economic cost...

Rachel Slaybaugh

BIDS Faculty Affiliate
Nuclear Engineering, UC Berkeley
Assistant Professor, Nuclear Engineering, UC Berkeley

Rachel Slaybaugh researches computational methods applied to nuclear reactors, nuclear non-proliferation and security, and shielding. Dr. Slaybaugh is developing programs to train and inspire the next generation to innovate in clean energy, including the Nuclear Innovation Bootcamp, and also focuses on improving transparency and reproducibility in computational science and scientific publication.

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Maya Petersen

BIDS Faculty Affiliate
Epidemiology and Biostatistics, Public Health, Computational Social Science, Computational Precision Health, Center for Targeted Machine Learning and Causal Inference
Professor, Epidemiology and Biostatistics, Berkeley Public Health Co-Director, Berkeley Computational Social Science Training Program (NIH) Co-Director, Joint Program in Computational Precision Health Co-Director, Center for Targeted Machine Learning and Causal Inference Maya Petersen’s methodological research focuses on the development and application of novel causal inference methods to problems in health, with an emphasis on longitudinal data and adaptive treatment strategies (dynamic regimes), machine learning methods, and study design and analytic strategies for impact evaluation....

David Holtz

BIDS Faculty Affiliate
Haas School of Business, UC Berkeley
Assistant Professor, Berkeley Haas School of Business

David Holtz studies the design of online marketplaces and platforms using large-scale online field experiments and novel digital trace data. His research agenda focuses on online trust and reputation system design, the business and societal impacts of personalized recommendations, and the design and analysis of field experiments in online marketplaces.

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Joseph Hellerstein

BIDS Faculty Affiliate
Electrical Engineering and Computer Sciences (EECS), UC Berkeley
Jim Gray Professor of Computer Science, Electrical Engineering and Computer Sciences (EECS), UC Berkeley

Joseph M. Hellerstein's work focuses on data-centric systems and the way they drive computing. Hellerstein is the co-founder and Chief Strategy Officer of Trifacta, a software vendor providing intelligent interactive solutions to the messy problem of wrangling data.

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Daniel Kam­men

BIDS Faculty Affiliate
Energy and Resources Group, 2007 Nobel Peace Prize Laureate
Professor and Chair, Energy and Resources Group Founding Director, Renewable and Appropriate Energy Laboratory (RAEL) Director, Center for Environmental Public Policy (CEPP), Goldman School of Public Policy, UC Berkeley James and Katherine Lau Distinguished Chair in Sustainability, Nuclear Engineering, UC Berkeley Senior Adviser for Energy, Climate and Innovation, U.S. Agency for International Development (USAID) 2007 Nobel Peace Prize Laureate

Daniel Kam­men is an expert on energy systems and the science and policy behind climate solutions. Kammen has served as a contributing or...