About Infinia ML

Where Breakthrough AI Meets Revenue Cycle Demands

As Aspirion’s research and development engine, Infinia ML was built to meet those demands—translating AI research into production solutions that drive measurable results across Aspirion’s revenue cycle management operations.

The AI Purpose-Built for
Revenue Cycle Complexity

By combining advanced machine learning with Aspirion’s deep revenue cycle expertise and national scale, we deliver AI that drives measurable revenue recovery for hospitals and health systems nationwide.

Technical Insights

The Best Minds Solving
The Hardest Problems

Infinia ML brings together machine learning researchers and AI engineers with Ph.D. roots and real industry—experience 35+ people and growing, headquartered in Durham, NC, with team members across the country.

Spun out of Duke University’s research labs in 2017 and acquired by Aspirion in 2023, we sit at the intersection of rigorous applied science and one of healthcare’s hardest operational problems: getting providers paid accurately, quickly, and transparently for their work.

That combination is rare. We’ve built a team to match.

Infinia ML Leadership

Nick Giannasi

Nick Giannasi

CEO, Aspirion

Spencer Allee

Spencer Allee

Chief AI Officer, Aspirion

Patrick Rabenold, Vice President, AI & Machine Learning

Patrick Rabenold

Vice President, AI & Machine Learning

Amberly Rowles Lawson - Infinia ML

Amberly Rowles-Lawson

Vice President, Engineering

Chase McGrath - Vice President of Product, Infinia ML

Chase McGrath

Vice President, Product

Shoni Davidson

Shoni Davidson

Senior Director, Delivery & User Success