Institute for Human-Centered Artificial Intelligence (HAI)
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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.
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 areas of Leadership, and helped shape related programs at Harvard, Stanford, and Columbia.
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.
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.
Senior Manager of Research Communities, Institute for Human-Centered Artificial Intelligence (HAI)
BioAhmad A. Rushdi is a Sr. Research Manager at the Stanford Institute for Human-Centered AI (HAI). 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.