I design governance structures, risk frameworks, and review processes that help health systems adopt AI responsibly, translating emerging technology and evolving regulation into oversight that protects patient safety without stalling innovation.
As Director of AI Governance at Mayo Clinic, I collaborate with clinicians, researchers, engineers, and organizational leaders to develop the oversight systems that support responsible AI adoption across clinical practice. My work translates emerging technologies, evolving regulatory expectations, and organizational priorities into scalable governance strategies — enabling innovation while safeguarding patient safety, clinical excellence, and institutional accountability.
My research examines how health policy shapes the governance of digital technologies in clinical care. I contribute to national and international initiatives advancing the responsible use of AI in healthcare, including the MRCT Center's AI Ethics and Human Subjects Task Force, the Coalition for Health AI, and the World Health Organization.
Additional publications, presentations, academic contributions, and FDA interactions available upon request.
I work with health systems, digital health companies, and AI-enabled medtech teams navigating regulatory ambiguity — translating governance principles into structures that actually hold up under review.
Design defensible, risk-based frameworks for classifying AI systems by potential for harm ahead of deployment.
Structure review bodies, policies, and quality-management processes for accountable, auditable AI oversight.
Navigate SaMD classification, labeling boundaries, and exemption pathways for AI/ML tools built in-house.
Support early-stage teams on product safety and deployment considerations for novel AI-enabled solutions.
Whether it's a governance framework, a regulatory strategy question, or a research collaboration, reach out.