Jonathan Lisic is a Principal Data Scientist with a Ph.D. in Computational Statistics and over 18 years of experience building statistical and machine learning solutions across healthcare, agriculture, and federal labor statistics. He designs and ships novel ML methods—two patents in progress—and has published research, produced multiple CRAN packages with thousands of monthly downloads, and spoken at major venues like JSM. At Evernorth he develops production AI for clinical conditions, audio/NLP, wearables, and capacity planning, while previously driving methodology and open-source tooling for the USDA and BLS. Jonathan blends deep applied skills in R, C, SQL and neural frameworks with practical survey and GIS expertise, enabling cost-efficient, production-ready analytics for complex, sparse datasets. A former Air Force intelligence analyst and founder of a federal sub-committee bridging data science and IT, he’s as comfortable mentoring teams and explaining models to stakeholders as he is inventing new algorithms. Outside work he’s a coder, GIS user and occasional podcaster who balances technical rigor with a bias for actionable solutions.
12 years of coding experience
12 years of employment as a software developer
Master's degree Statistics, Master's degree Statistics at The University of Akron
Bachelor of Arts (B.A.) Mathematics, Bachelor of Arts (B.A.) Mathematics at Western Washington University
Doctor of Philosophy (Ph.D.) Computational Science and Informatics - Computational Statistics, Doctor of Philosophy (Ph.D.) Computational Science and Informatics - Computational Statistics at George Mason University
A set of tools for fetching and using the Cropscape Data Layer in R
Contributions:62 commits, 8 PRs, 66 pushes in 9 years 4 months
r-packagefetchingrstatsdata-layer
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.