Dominick Olivito is a Principal Engineer specializing in data products with 13 years of experience translating large, complex datasets into actionable insights, particularly in medical and biological contexts. He combines a strong research background—PhD in Elementary Particle Physics and postdoctoral work at UC San Diego—with hands-on ML and data engineering practice developed at Tamr and during an Insight Data Science fellowship. He has built production-ready classification models and interactive Dash apps deployed on AWS to automate clinical workflows and improved model accuracy through practical NLP approaches. Based in Arlington, MA, he excels at bridging rigorous quantitative research and product-focused engineering to deliver scalable data solutions. Notably, his trajectory from particle physics to applied healthcare ML gives him a rare depth in statistical reasoning paired with real-world data product delivery.
12 years of coding experience
12 years of employment as a software developer
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at The Ohio State University
Doctor of Philosophy (PhD), Elementary Particle Physics, Doctor of Philosophy (PhD), Elementary Particle Physics at University of Pennsylvania
Contributions:5 pushes, 14 branches in 1 year 7 months
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