Aaron is an expert associate partner in McKinsey’s Healthcare Practice and QuantumBlack, AI by McKinsey. He coleads the firm’s healthcare AI work, helping payers and providers architect and implement agentic and generative AI strategy and transformations. Aaron focuses on helping clients translate cutting-edge technology innovation into clinical and financial value at scale.
Examples of Aaron’s recent work include:
- redesigning the digital and analytics operating model for a large health system, enabling dozens of AI use case builds and new data products, unlocking tens of millions in savings within a year
- architecting data and analytical products across contract optimization, prior authorization, and provider
- leading development of a medical-cost machine-learning and forecasting model that combines claims, news, census, pharma, and geospatial signals at the member level
- building McKinsey’s payer and provider AI use-case library and value-sizing framework, including an agentic AI platform that monitors and integrates all external impact reported
Before joining McKinsey, Aaron was a data scientist at Locus Analytics (now Syntax Indices), focusing on employment forecasting, economic complexity, and functional labor-market clusters. Prior to that, he was a researcher and lab manager at the Cornell Human Neuroscience Institute focusing on memory and neurodegenerative diseases.