Diego F. Niño, M.D., Ph.D., is an Associate Professor in the Department of Biomedical Sciences and founding faculty at Xavier Ochsner College of Medicine (XOCOM), Xavier University of Louisiana, where he serves as Director of Artificial Intelligence Integration and Innovation and Director of Assessment and Quality Review. He also chairs the International Association of Medical Science Educators (IAMSE) Professional Development Committee and serves as Director of the IAMSE AI in Health Professions Education Course. 

Dr. Niño is an inaugural member of both the IAMSE Artificial Intelligence Community of Growth and the International Advisory Committee for Artificial Intelligence in Medical Education (IACAI). He is a scholar and lead faculty facilitator for the Harvard Macy Institute's Technology and AI: Transforming Health Professions Education course and serves on the USMLE Physiology and Cell Biology Test Material Development Committee for the National Board of Medical Examiners (NBME). Dr. Niño is a member of the AAMC Principles for the Responsible Use of AI in and for Medical Education Review Committee, where he co-authored foundational frameworks for AI integration in medical education. 

Dr. Niño serves as Program Developer and Lead Faculty Facilitator for the IAMSE Professional Development Workshops on AI in Health Professions Education. He also developed and leads the Professional Certificate in AI Integration in Health Professions Education at Tecnológico de Monterrey, a six-month blended program training faculty across multiple campuses in Mexico. 

With over a decade of experience in academic medicine and health professions education, Dr. Niño specializes in the application of artificial intelligence in medical education, the integration of educational technology, and professional development. His scholarship focuses on developing and implementing innovative active learning strategies and creating interactive educational tools that leverage emerging technologies and artificial intelligence to optimize learning outcomes and educational effectiveness. An accomplished educator and mentor, he has guided multiple medical students and junior faculty members across institutions and has presented his work at national and international conferences on AI in medical education and professional development.