Presenter

Kimberly DeBaise is a Senior AI/ML Systems Engineer with extensive experience in human-centered design, usability validation, and the integration of artificial intelligence into safety-critical healthcare systems. Her work focuses on bridging technical innovation with clinical relevance, ensuring that AI-enabled tools are not only functional but also usable, trustworthy, and aligned with regulatory standards.
At Mayo Clinic, Kim leads initiatives that combine simulation-based testing, cognitive ergonomics, and risk management frameworks to evaluate emerging digital health technologies.
Kim brings over 15 years of experience and holds a Bachelor of Science in Materials Engineering from California Polytechnic State University, San Luis Obispo. She is passionate about advancing interdisciplinary collaboration between engineering, clinical, and regulatory teams. Her work emphasizes the importance of iterative feedback, transparency, and explainability in AI systems, with a focus on improving patient outcomes and clinician trust.