Patrick Long, PhD

Hi, I’m Patrick. I lead teams building healthcare ML solutions to find patients with rare or under-diagnosed diseases who may benefit from available treatments, using claims and EHR data.

My through line is combining science and tech to improve health: a decade as a neuroscientist at the bench (molecular biology, developmental neurobiology, cancer therapeutics), then tech transfer evaluating early-stage medical inventions like clinical decision support tools, digital health platforms, and therapeutics. Since then I’ve been building healthcare ML solutions on real-world data, from problem framing through deployment, with 50+ predictive models deployed at scale.

15+ publications and 3 patents in healthcare AI. In my free time I build educational apps about biology, AI/ML, and system design.

Recent: Presented at the Pharmaceutical Data Science Conference (PharmaDS 2026) · New paper on asthma subgroup discovery in BMJ Health & Care Informatics (2025)

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

Working on something at the intersection of healthcare and AI, or interested in collaborating? Get in touch.