Newest first. Each case study covers the problem, my role, what we built, and what I learned.
2025–present
Infinia ML / Aspirion
Manager, AI/ML Applied Science; lead of the ContractIQ and Pricing & Scoring teams
A contract-intelligence platform that turns payer contracts into structured, auditable reimbursement logic, so providers can see what they should be paid and catch underpayments.
2023–2024
Bionic Health (now Thrive Wellness)
Principal Data Scientist, leading Data Science & AI; ML engineer across the platform
Built a custom EHR and a web and mobile app for patients and clinicians: a system that ingested complex health data, ran inference on it, and let people explore it with an LLM assistant that produced custom analytics on the fly.
2020–2023
Duke University
ML Research Scientist, Medical Imaging (PhD, Biomedical Engineering)
Deep-learning segmentation and registration of MRI to measure how intervertebral discs deform and recover, which became my dissertation.
2017–2018
Valencell
Machine Learning Engineer, Wearable Algorithms
Deep-learning algorithms for heart-rate and blood-pressure estimation from wearable optical sensors, built to hold up while people move.
2017
Wilson Sporting Goods
Real-time kinematics from sensors inside footballs and basketballs, for the Wilson X line, tested with NFL and NCAA teams.