Sharon Davis

Sharon E. Davis, PhD, is a Research Assistant Professor of Biomedical Informatics. She is a biomedical informatician with a background in public health and statistics, whose current research emphasizes clinical predictive analytics, post-marketing surveillance, algorithmovilgiance, and responsible stewardship of artificial intelligence in healthcare. She is particularly interested in addressing the practical challenges of applied learning prediction systems, focusing on methods supporting the implementation of reliable, impactful, and sustainable clinical AI models. She has developed a suite of methods for data-driven model monitoring and updating, laying the groundwork for algorithmovigilance systems promoting utility of models underlying tools for decision support and population management. The arc of Dr. Davis’ career and her current focus on methods promoting practical clinical prediction are guided by a commitment to leveraging health and data sciences to advance tools that empower individuals, promote healthy communities, and reduce health inequities.