Institute for Human-Centered Artificial Intelligence (HAI)
Showing 1-9 of 9 Results
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Christopher Re
Associate Professor of Computer Science
Current Research and Scholarly InterestsAlgorithms, systems, and theory for the next generation of data processing and data analytics systems.
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Rob Reich
Professor of Political Science, by courtesy, of Education and Senior Fellow, by courtesy, of the Freeman Spogli Institute for International Studies
BioRob Reich is professor of political science and, by courtesy, professor of philosophy and at the Graduate School of Education, at Stanford University. He is the director of the Center for Ethics in Society and co-director of the Center on Philanthropy and Civil Society (publisher of the Stanford Social Innovation Review), and associate director of the Institute for Human-Centered Artificial Intelligence. His scholarship in political theory engages with the work of social scientists and engineers. His next book is Digital Technology and Democratic Theory (edited with Helene Landemore and Lucy Bernholz, University of Chicago Press). He is the author of Just Giving: Why Philanthropy is Failing Democracy and How It Can Do Better (Princeton University Press, 2018) and Philanthropy in Democratic Societies: History, Institutions, Values (edited with Chiara Cordelli and Lucy Bernholz, University of Chicago Press, 2016). He is also the author of several books on education: Bridging Liberalism and Multiculturalism in American Education (University of Chicago Press, 2002) and Education, Justice, and Democracy (edited with Danielle Allen, University of Chicago Press, 2013).
Reich is the recipient of multiple teaching awards, including the Walter J. Gores award, Stanford’s highest honor for teaching. He was a sixth grade teacher at Rusk Elementary School in Houston, Texas before attending graduate school. He is a board member of the magazine Boston Review, of Giving Tuesday, and at the Spencer Foundation. -
John Robichaux
Director of Education, Institute for Human-Centered Artificial Intelligence (HAI)
BioJohn Robichaux is the inaugural Director of Education at the Stanford Institute for Human-Centered Artificial Intelligence (HAI).
John is an award-winning executive and educator, with 25+ years expertise in advising, building, and growing high-impact organizations within the public, corporate, and philanthropic sectors. Prior to his current role, John served in senior leadership positions at Harvard, Stanford, and Columbia Universities, as well as consultant, advisor, or board member for 200+ organizations worldwide in the areas of strategic and executive leadership, organizational and policy design, change leadership, and social impact. John also founded and co-directed a large international NGO and nonprofit.
Academically, John is a Harvard-educated, award-winning scholar of human rights, democracy, and critical issues in international relations. He has taught at Harvard and Stanford in the areas of International Relations, Political Science, Religious Studies, Ethics, and Anthropology before making the move to university administration full-time. John's research, teaching, and policy work has touched on some of the most prominent issues facing global leaders: the impacts of emerging technologies, sustainability leadership and resource conflicts, ethics of war and conflict, minority rights, immigration, religion in the post-9/11 era, health care, democracy, and global leadership (as viewed by government, industry, and civil society organizations). He has conducted research or taught in eight countries on four continents.
Within higher education leadership, John is widely recognized as the only active administrator to have held leadership positions at three "Ivy Plus" universities in six key areas of university teaching, research, and administration. In 2017, NAASS recognized John's innovation and impact on higher education leadership, describing "The Robichaux Method" as "15 ideas that changed everything" in these fields. John has also successfully led numerous university-wide initiatives and helped launch dozens of degree programs, research centers, and new schools and campuses. He has taught in the area of Leadership, and helped shape leadership programs at Harvard, Stanford, and Columbia.
Some example partners John has worked with (public list): The United Nations, The White House, US State Department, US Congress, European Parliament, European Commission, Google, Microsoft, Amazon, Apple, IBM, Facebook, Goldman Sachs, Wells Fargo, Nike, LinkedIn, Kaiser Permanente, Dignity Health, the NFL, Johnson & Johnson, Salesforce, PBS, NPR, NASA, National Geographic, The Brookings Institution, Hoover Institution, UNICEF, NYPD, the Miami Dolphins, NASCAR, Brooks Brothers, GoPro, United Way, YMCA, Harvard University, Stanford University, Columbia University, M.I.T., UC-Berkeley, Hong Kong University, University College London, Singapore University of Technology & Design, The University of California, California State University, European University Institute, Historically Black Colleges & Universities (HBCUs), New York City Public Schools, San Francisco Public Schools, Washington, DC Public Schools, Miami-Dade Public Schools, Office of the State Superintendent of Education (Washington, DC), Boys and Girls Club of America, Harlem Children’s Zone, American Friends Service Committee, US Conference of Bishops, Lutheran Refugee Services, National Conference for Community & Justice, Rotary International, the KIPP Foundation, the Jack Kent Cooke Foundation, and the Malone Foundation, among others.
John and his family have more than 90 years of combined service to Stanford. A native Louisiana Cajun, today he lives on Stanford's campus in Silicon Valley with his wife and daughter. -
Thomas Robinson
The Irving Schulman, M.D. Professor of Child Health, Professor of Medicine (Stanford Prevention Research Center) and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsDr. Robinson originated the solution-oriented research paradigm and directs the Stanford Solutions Science Lab. He is known for his pioneering obesity prevention and treatment research, including the concept of stealth interventions. His research applies social cognitive models of behavior change to behavioral, social, environmental and policy interventions for children and families in real world settings, making the results relevant for informing clinical and public health practice and policy.
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Fatima Rodriguez
Assistant Professor of Medicine (Cardiovascular Medicine)
BioFatima Rodriguez, MD, MPH is an Assistant Professor in Cardiovascular Medicine and (by courtesy) the Stanford Prevention Research Center. She received her MD and MPH from Harvard University and completed residency in internal medicine at the Brigham and Women's Hospital. Dr. Rodriguez arrived at Stanford University in 2014, where she completed a cardiovascular medicine fellowship and served as Chief Fellow. She specializes in the primary and secondary prevention of cardiovascular disease, lipid disorders, and cardiovascular risk assessment in high-risk populations.
Dr. Rodriguez’s research includes a range of topics relating to racial, ethnic, and gender disparities in cardiovascular disease prevention and developing novel interventions to address disparities. -
Daniel Rubin
Professor of Biomedical Data Science and of Radiology (Integrative Biomedical Imaging Informatics at Stanford), of Medicine (Biomedical Informatics Research) and, by courtesy, of Ophthalmology and of Computer Science
Current Research and Scholarly InterestsMy research interest is imaging informatics--ways computers can work with images to leverage their rich information content and to help physicians use images to guide personalized care. Work in our lab thus lies at the intersection of biomedical informatics and imaging science.
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Ahmad Rushdi
Industry Research Initiatives Manager, Institute for Human-Centered Artificial Intelligence (HAI)
BioAhmad A. Rushdi joined Stanford as a Research Initiatives Manager at the Stanford Institute for Human-Centered AI (HAI) in 2021. He works with the diverse machine learning, deep learning, and artificial intelligence communities across Stanford and the corporate world, in order to envision, build, and maintain new bridges around cutting-edge research that would create useful and trusted systems for a variety of AI applications.
Dr. Rushdi's research interests include statistical signal processing and uncertainty quantification methods applied to machine learning models trained on time-series and real/synthetic image datasets. His publications span system design, communications, genomics, meshing, and national security applications.
Prior to joining Stanford, Ahmad was a research scientist at the Center for Computing Research of Sandia National Laboratories, an R&D manager of data science at Northrop Grumman Corporation, a research fellow at the Department of Electrical and Computer Engineering of UC Davis and the Computational Visualization Center under Oden Institute for Computational Engineering and Sciences at UT Austin, and an R&D engineer at Cisco Systems.
Ahmad holds a PhD in Electrical and Computer Engineering from the University of California, Davis, and MSc/BSc degrees in Electrical Engineering from Cairo University.
