Jamie Antonelli is a Lead Data Scientist with 12 years of experience who transitioned from experimental particle physics to healthcare analytics, applying petabyte-scale data skills to improve patient outcomes and PBM operations. He has led teams and technical initiatives that produced multimillion-dollar ROI—building predictive clinical models, standardizing codebases, and founding a Model Approval Committee to ensure methodological rigor. Jamie combines deep ML/NLP and computer vision expertise with practical product delivery, having shipped HIPAA-sensitive models and interactive tools under tight timelines. Comfortable translating complex analysis into persuasive stories for executives, he also brings hands-on detector and quality-assurance experience from Fermilab and CERN that informs his disciplined, failure-conscious approach to production systems.
13 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at University of Notre Dame
Bachelor of Science (B.S.) Physics, Bachelor of Science (B.S.) Physics at The University of Dallas
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