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 and advisor to 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, 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 leadership. In 2017, NAASS recognized John's innovation and impact on higher education leadership, describing "The Robichaux Method" as "15 ideas that changed everything" in those fields. He regularly consults for global organizations, with special emphasis on training executives, strategic planning efforts, and change management. Outside these areas, John has also worked on university-wide initiatives in international education, global campus development, interdisciplinary research, teaching and learning, student affairs, religious life, and helped launch dozens of degree programs, research centers, and new schools and campuses.
Academically, John is a Harvard-educated, award-winning human rights scholar. 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. He has also held director and executive director roles overseeing Human Rights programs at Stanford and Columbia, and Columbia's Critical Issues in International Relations and United Nations Studies programs. Additionally, John has taught in the area of Leadership, and held leadership roles within multiple leadership/ management programs at Harvard, Stanford, and Columbia. 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.
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.