UCB Faculty Affiliates

John Huelsenbeck

BIDS Faculty Affiliate
Integrative Biology, UC Berkeley
Professor, Integrative Biology, UC Berkeley

John Huelsenbeck is a professor of Integrative Biology at UC Berkeley. He is a computational and evolutionary biologist whose research focuses primarily on using phylogenetic analysis to reconstruct a genealogical history of life by comparing DNA samples. His research uses Bayesian inference to address questions about relationships among various species, evolution, and adaptation.

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Michael Jordan

BIDS Faculty Affiliate
Electrical Engineering and Computer Science and Statistics, UC Berkeley
Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and Statistics at the University of California, Berkeley

Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley. He received his Masters in Mathematics from Arizona State University, and earned his PhD in Cognitive Science in 1985 from the University of California, San Diego. He was a professor at MIT from 1988 to 1998....

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...

Maggi Kelly

BIDS Faculty Affiliate
Environmental Science, Policy,and Management; Geospatial Innovation Facility (GIF); UC Berkeley
Professor; Environmental Science, Policy,and Management; UC Berkeley Faculty Director, Geospatial Innovation Facility, UC Berkeley Director, ANR Statewide Program in Informatics and Geographic Information Systems (IGIS)

Maggi Kelly uses a range of geospatial data and analytics – from spatial modeling, remote sensing, drones, liDAR, historical archives, surveys, participatory mapping, and the field - to gain insights about how and why California landscapes are changing, and what that change means for those who live on, use, and manage our lands.

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Erin M. Kerrison

BIDS Faculty Affiliate
Social Welfare, UC Berkeley
Assistant Professor, School of Social Welfare, UC Berkeley

Erin M. Kerrison's work extends from a legal epidemiological framework, wherein law and legal institutions operate as structural determinants of health. Specifically, through varied agency partnerships, her mixed-method research agenda investigates the impact that compounded structural disadvantage, concentrated poverty and state supervision has on service delivery, substance misuse, violence, and other health outcomes for individuals and communities marked by criminal legal system intervention.

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Laurel Larsen

BIDS Faculty Affiliate
Geography, Civil and Environmental Engineering, UC Berkeley
Associate Professor, Geography, Civil and Environmental Engineering, UC Berkeley

Laurel Larsen's research uses a variety of tools to identify the feedback processes driving environmental systems at the landscape scale. These tools include field and laboratory work, simulation modeling, and data-driven analysis using increasingly available environmental data from sensor networks and remote sensing platforms. Much of this work focuses on how water interacts with physical (e.g., sediment) and biological (e.g., plants) components of the environment, often in nonlinear ways that lead to...

Michael Mahoney

BIDS Faculty Affiliate
Statistics, UC Berkeley
Associate Professor, Statistics, UC Berkeley

Michael Mahoney works on algorithmic and statistical aspects of modern large-scale data analysis. Much of his recent research has focused on large-scale machine learning including randomized matrix algorithms and randomized numerical linear algebra; geometric network analysis tools for structure extraction in large informatics graphs; scalable implicit regularization methods; and applications in genetics, astronomy, medical imaging, social network analysis, and internet data analysis.

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Olivia Natan

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

Olivia Natan is an assistant professor in the Marketing Group at the Haas School of Business. Her work focuses on the implications of information frictions on firms and consumers using large-scale firm data. Her recent work has focused on excess product variety in platform markets and organizational frictions in airline pricing.

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Aditya Parameswaran

BIDS Faculty Affiliate
School of Information, EECS, EPIC Data Lab, UC Berkeley
Associate Professor, I School and EECS, UC Berkeley Co-Director, EPIC Data Lab, UC Berkeley

Aditya Parameswaran's research interests focus on building tools for simplifying data science at scale, i.e., empowering individuals and teams to leverage and make sense of their large datasets more easily, efficiently, and effectively.

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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....