Stanford University
Showing 11-20 of 72 Results
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Christine Raval
Research Program Manager, Institute for Human-Centered Artificial Intelligence (HAI)
BioChristine is a member of the research team at the Stanford Institute for Human-Centered AI (HAI). She manages the HAI grant programs, student affinity initiative, and the operations of AI100, a 100-year effort to study and anticipate how the effects of AI will ripple through every aspect of how people work, live and play. Prior to joining Stanford, Christine worked on the digital learning team at the University of Nebraska at Omaha and as a case manager for newly arrived refugees in Omaha. Christine graduated with a Master of Public Administration from the University of Nebraska at Omaha and a BA in Justice and Society from Creighton University.
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Jennifer L. Raymond
Berthold and Belle N. Guggenhime Professor
Current Research and Scholarly InterestsWe study the neural mechanisms of learning, using a combination of behavioral, neurophysiological, and computational approaches. The model system we use is a form of cerebellum-dependent learning that regulates eye movements.
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Christopher Re
Associate Professor of Computer Science
On Leave from 04/01/2024 To 06/30/2024Current Research and Scholarly InterestsAlgorithms, systems, and theory for the next generation of data processing and data analytics systems.
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sean reardon
Professor of Poverty and Inequality in Education, Senior Fellow at the Stanford Institute for Economic Policy Research and Professor, by courtesy, of Sociology
On Leave from 01/01/2024 To 08/31/2024Current Research and Scholarly InterestsThe causes and patterns of racial/ethnic and socioeconomic achievement disparities;
The effects of school integration policies on segregation patterns and educational outcomes;
Income inequality and its educational and social consequences.
http://cepa.stanford.edu/sean-reardon -
Lawrence Recht, MD
Professor of Neurology (Adult Neurology) and, by courtesy, of Neurosurgery
Current Research and Scholarly InterestsOur laboratory focuses on two interrelated projects: (1) assessment of glioma development within the framework of the multistage model of carcinogenesis through utilization of the rodent model of ENU neurocarcinogenesis; and (2) assessment of stem cell specification and pluripotency using an embryonic stem cell model system in which neural differentiation is induced.
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Kristy Red-Horse
Professor of Biology
Current Research and Scholarly InterestsCardiovascular developmental biology
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David Rehkopf
Associate Professor of Epidemiology and Population Health, of Medicine (Primary Care and Population Health) and, by courtesy, of Sociology, of Pediatrics and of Health Policy
BioI am a social epidemiologist and serve as an Associate Professor in the Department of Epidemiology and Population Health and in the Department of Medicine in the Division of Primary Care and Population Health. I joined the faculty at Stanford School of Medicine in 2011.
I am Director of the Stanford Center for Population Health Sciences. In this position, I am committed to making high-value data resources available to researchers across disciplines in order to better enable them to answer their most pressing clinical and population health questions.
My own research is focused on understanding the health implications of the myriad decisions that are made by corporations and governments every day - decisions that profoundly shape the social and economic worlds in which we live and work. While these changes are often invisible to us on a daily basis, these seemingly minor actions and decisions form structural nudges that can create better or worse health at a population level. My work demonstrates the health implications of corporate and governmental decisions that can give the public and policy makers evidence to support new strategies for promoting health and well-being. In all of his work, I have a focus on the implications of these exposures for health inequalities.
Since often policy and programmatic changes can take decades to influence health, my work also includes more basic research in understanding biological signals that may act as early warning signs of systemic disease, in particular accelerated aging. I examine how social and economic policy changes influence a range of early markers of disease and aging, with a particular recent focus on DNA methylation. I am supported by several grants from the National Institute on Aging and the National Institute on Minority Health and Health Disparities to develop new more sensitive ways to understand the health implications of social and economic policy changes.
