Hi, I’m Patrick. I’m an AI engineering lead building ML solutions on healthcare data, with teams working on rare disease detection, patient outcome prediction, and subgroup discovery using claims and EHR data.
I’m a neuroscientist by training: a decade at the bench (molecular biology, developmental neurobiology, cancer therapeutics), then tech transfer evaluating early-stage medical innovations including clinical decision support tools, digital health platforms, medical devices, and novel drugs.
That trajectory, bench science to commercialization to applied AI, shapes how I approach building scalable healthcare AI applications.
Featured Work
Asthma Subgroup Discovery
ML-driven patient clustering using longitudinal claims data to identify high-risk asthma phenotypes.
BMJ Health & Care Informatics, 2025
NASH Detection Model
Machine learning approach using prescription and claims data for non-alcoholic steatohepatitis detection.
BMJ Health & Care Informatics, 2022
To Learn is to Myelinate
How learning drives myelin plasticity in the adult brain—linking neural activity to white matter changes.
Science, 2014
Healthcare AI Primer
Study notes on ML and real-world data across drug discovery, clinical trials, and regulatory science.
Live Project