Is a health services researcher and educator whose work bridges artificial intelligence, behavioral science, and evidence-based health professions education. He holds graduate degrees from Dartmouth’s Geisel School of Medicine (MS), the London School of Economics (MSc), the Massachusetts General Hospital Institute of Health Professions (MS-HPE), and Eastern Virginia Medical School (DHSc). He is Adjunct Faculty in Applied Health Economics at Thomas Jefferson University’s College of Population Health and in Healthcare Administration and Doctor of Health Science programs at the MGH Institute of Health Professions. His research explores the integration of AI and digital health technologies into medical and interprofessional education, focusing on human–AI collaboration, social cognition learning, and implementation science. A long-time reviewer and now Associate Editor for Medical Science Educator, McKell contributes to international initiatives on AI in health professions education. He is the first author of two national AI Needs Assessment surveys of US medical school faculty, the first author of two reports on AI applications and implementation challenges for medical school faculty, co-directs the Professional Development Workshop on AI for Medical School faculty for the International Association of Medical Science Educators, and is co-editing a Springer Manual on AI in Health Professions Education. His work advances understanding of how technology and human factors shape the evolving landscape of health sciences training. He is completing the Interreligious Chaplaincy Program at the Graduate Theological Union and will be a doctoral student studying Chaplaincy Formation and Education using AI at the School of Theology at Boston University beginning in the Fall 2026.
