Vice Provost and Dean of Research
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Associate Professor of Communication and, by courtesy, of Political Science and of Sociology
BioJennifer Pan is an Associate Professor of Communication at Stanford University. Her research focuses on political communication and authoritarian politics. Pan uses experimental and computational methods with large-scale datasets on political activity in China and other authoritarian regimes to answer questions about how autocrats perpetuate their rule. How political censorship, propaganda, and information manipulation work in the digital age. How preferences and behaviors are shaped as a result.
Her book, Welfare for Autocrats: How Social Assistance in China Cares for its Rulers (Oxford, 2020) shows how China's pursuit of political order transformed the country’s main social assistance program, Dibao, for repressive purposes. Her work has appeared in peer reviewed publications such as the American Political Science Review, American Journal of Political Science, Comparative Political Studies, Journal of Politics, and Science.
She graduated from Princeton University, summa cum laude, and received her Ph.D. from Harvard University’s Department of Government.
Pablo Paredes Castro
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
Clinical Assistant Professor (By courtesy), Epidemiology and Population Health
Current Research and Scholarly InterestsPRECISE, PERSONALIZED & AFFORDABLE WELLBEING TECHNOLOGY
Combining medicine, design, and engineering principles, we research novel technologies to keep people healthy and productive. Our goal is to discover revolutionary ways of broadly delivering both universal and selective, preventive, and self-sustaining, daily life interventions.
Associate Professor of Aeronautics and Astronautics and, by courtesy, of Electrical Engineering and of Computer Science
BioDr. Marco Pavone is an Assistant Professor of Aeronautics and Astronautics at Stanford University, where he is the Director of the Autonomous Systems Laboratory and Co-Director of the Center for Automotive Research at Stanford. Before joining Stanford, he was a Research Technologist within the Robotics Section at the NASA Jet Propulsion Laboratory. He received a Ph.D. degree in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 2010. His main research interests are in the development of methodologies for the analysis, design, and control of autonomous systems, with an emphasis on self-driving cars, autonomous aerospace vehicles, and future mobility systems. He is a recipient of several awards, including a Presidential Early Career Award for Scientists and Engineers from President Barack Obama, an ONR Young Investigator Award, an NSF CAREER Award, and a NASA Early Career Faculty Award. He was identified by the American Society for Engineering Education (ASEE) as one of America's 20 most highly promising investigators under the age of 40. His work has been recognized with best paper nominations or awards at the International Conference on Intelligent Transportation Systems, at the Field and Service Robotics Conference, at the Robotics: Science and Systems Conference, and at NASA symposia.
Director, H-STAR, David Jacks Professor of Education and Professor, by courtesy, of Computer Science
Current Research and Scholarly Interestslearning sciences focus on advancing theories, research, tools and social practices of technology-enhanced learning of complex domains
VJ Periyakoil, Geriatrics, Hospice & Palliative Medicine
Professor of Medicine (Primary Care and Population Health)
Current Research and Scholarly InterestsMy research focuses on the intersection of biological, psychosocial and cultural aspects of care of persons with chronic and serious illnesses including dementia.
Kilian M Pohl
Associate Professor (Research) of Psychiatry and Behavioral Sciences (Public Mental Health and Population Sciences)
Current Research and Scholarly InterestsThe foundation of the laboratory of Associate Professor Kilian M. Pohl, PhD, is computational science aimed at identifying biomedical phenotypes improving the mechanistic understanding, diagnosis, and treatment of neuropsychiatric disorders. The biomedical phenotypes are discovered by unbiased, machine learning-based searches across biological, neuroimaging, and neuropsychological data. This data-driven discovery currently supports the adolescent brain research of the NIH-funded National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) and the Adolescent Brain Cognitive Development (ABCD), the largest long-term study of brain development and child health in the US. The laboratory also investigates brain patterns specific to alcohol use disorder and the human immunodeficiency virus (HIV) across the adult age range, and have advanced the understanding of a variety of brain diseases including schizophrenia, Alzheimer’s disease, glioma, and aging.