Patrick Long
AI ML Engineering Associate Director (Methodology & AI Innovation)
United States
Summary
👤
Senior🎓
Top SchoolPatrick Long is an AI/ML engineering leader who directs a global team at IQVIA building real-world data solutions to find patients with rare or under-diagnosed diseases and accelerate treatment access. With a decade of neuroscience and preclinical research followed by tech transfer experience, he uniquely bridges bench science, commercialization, and production-grade healthcare AI. Over nine years in applied ML he has led teams that scaled from startup-size groups to 20+ engineers, shipped published clinical proof-of-concept studies, and co-invented patents in healthcare AI and data interoperability. His technical toolkit spans clustering, gradient boosting, transformers, NLP and agentic frameworks applied across metabolic, autoimmune, CNS and oncology domains. Based in Philadelphia, he combines curiosity-driven data science with a strong track record of translating complex biology into pragmatic, deployable ML systems.
10 years of coding experience
4 years of employment as a software developer
B.A. Psychology, B.A. Psychology at University of OregonPhD Neuroscience, PhD Neuroscience at University of VermontPostdoctoral Fellow Neuroscience, Postdoctoral Fellow Neuroscience at University of Michigan Medical SchoolPostdoctoral Fellow Neuroscience, Postdoctoral Fellow Neuroscience at Harvard Medical School
French, English
Github Skills (4)
python3
data-structures2
data-structure2
algorithms2
Programming languages (6)
Github contributions (5)
pkmklong/DSA
Aug 2021 - Oct 2024
Data Structures and Algorithms
Contributions:18 PRs, 142 pushes, 2 branches in 3 years 2 months
data-structuredata-structures
pkmklong/pyicd
Dec 2019 - Sep 2020
WIP: A basic python package for ICD9/10 General Equivalency Maps (GEMs)
Contributions:26 PRs, 196 pushes, 9 branches in 9 months
python
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