Matt leads Alivia’s advanced analytics, data science, and platform development for fraud, waste, and abuse (FWA) detection—validated through payment integrity edits, audits, and data mining. With expertise in healthcare analytics and risk modeling, he oversees AI-powered solutions that help Medicaid, Medicare, and commercial payers prevent improper payments and uncover emerging fraud schemes.
Before assuming this role, Matt built a strong reputation at Alivia as a customer-facing data scientist, helping technical and non-technical users alike apply analytics to drive measurable results. He is a regular speaker at healthcare FWA conferences, including NHCAA and NAMPI, where he presents pre- and post-payment analytic strategies alongside health plan leaders. He was valedictorian of his graduating class from Boston College with degrees in biochemistry and philosophy.
