Adam Hearn

Background

About Adam Hearn

Transforming healthcare through AI and data science at Milliman’s IndyHealth practice. I develop and deploy innovative AI and machine learning solutions addressing healthcare’s most complex challenges—from detecting fraud patterns that save millions, building intelligent knowledge agents to reconcile intricate claims data, to identifying healthcare accessibility gaps that inform critical policy decisions. My expertise encompasses the complete ML lifecycle: architecting robust pipelines, engineering advanced models, and translating sophisticated analytics into actionable intelligence. Currently, I lead initiatives focused on: • ML-driven systems for fraud, waste, and abuse detection to safeguard healthcare resources • Agentic AI pipelines reconciling diverse, complex healthcare claims data • Geospatial analytics identifying healthcare network disparities • Strategic dashboards converting data into informed policy and management decisions • Responsible AI governance frameworks promoting ethical innovation With an MS in Data Science for Public Policy from Georgetown University and a BA in Economics from Rhodes College, I combine technical precision with practical impact. My guiding principle is clear: leverage AI and ML to advance public good alongside organizational goals.