Gabe Shaughnessy is a Principal Data Scientist with nine years of industry experience and a PhD in Physics, currently leading data science efforts at Syrup Tech after six years in the same role at Jungle Scout. He combines deep quantitative research—spanning medical imaging, atmospheric satellite analysis, and particle physics—with hands-on production engineering in Python, C/C++, and cloud-deployed web apps. Gabe has a strong track record of turning large, complex datasets and simulations into validated products and prototypes, including an invented angiographic blood-flow measurement later integrated into a commercial prototype. Comfortable across the stack, he ships ML systems, Monte Carlo simulators, and interactive web tools using tools like scikit-learn, Keras, Flask, Docker, and JupyterHub. Not obvious from the title: he built domain-specific analysis packages (PCA tools for 6 TB of microwave data, a Geant4-linked scattering package, and the PEAT event-analysis toolkit) that bridged research and operational use. He brings a researcher’s curiosity to product-focused data science, consistently moving novel algorithms from concept to production.
9 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at University of Wisconsin-Madison
Bachelor of Science - BS Physics Mathematics, Bachelor of Science - BS Physics Mathematics at Southern Illinois University, Carbondale
Master of Science - MS Physics, Master of Science - MS Physics at Cornell University
Contributions:1 release, 1 review, 236 commits in 1 year 7 months
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.