I lead applied AI teams that turn messy healthcare signals into decisions people can trust.

Manager, AI/ML Applied Science at Infinia ML. I lead the teams behind ContractIQ and Pricing & Scoring.

Trained as
PhD, Biomedical Engineering, Duke
Published
9 peer-reviewed papers, 1 US patent
Shipped
Wearable, sports-sensing and healthcare AI products

Night of October 12, 2026

Into sleep
—
Heart rate
— bpm
HRV
— ms
Stage
—
Recorded by the ring I wear every night, with readings every five minutes and movement every thirty seconds. Drag across the chart, or use the slider, to read any moment.

That's my heart, asleep. Somewhere between the ring on my finger and this chart, a noisy flicker of light became a heart rate you can read. I've spent my career on that kind of step, from heartbeats and spine MRIs to the payer contracts that decide what care is paid.

Today that means leading the applied-science team at Infinia ML, the AI arm of Aspirion, where we turn dense payer contracts into reimbursement logic people can audit. Before that I led Data Science & AI at Bionic Health, and did a PhD in Biomedical Engineering at Duke. See how the heartbeat gets out of the noise.

Four signals

Valencell, Wilson

The body

Heart rate and blood pressure from optical sensors that keep working while people move, and real-time ball tracking from sensors inside footballs, built with NFL teams.

Duke University

The tissue

Deep-learning segmentation and registration of spine MRI, measuring how intervertebral discs deform under everyday load. It became my dissertation.

Bionic Health

The person

A custom health record and web and mobile apps that brought one person's imaging, labs, glucose, sleep and heart data together, turned it into risk models, and let patients and clinicians explore it with an LLM assistant.

Infinia ML

The bill

ContractIQ reads payer contracts and works out what each claim should pay, so underpayments get caught and rates get negotiated with evidence.

Writing

The prototype was too small

Starting simple is good advice. Starting small can be a trap, especially when your users are experts and the domain is dense. What building ContractIQ taught me about the difference.

Read the case studies, grab the CV, or get in touch.