Anthony Tropiano is a Senior Data Scientist with a PhD in Physics and seven years of experience translating advanced theoretical research into practical statistical and ML solutions. After a postdoctoral appointment at Argonne National Lab, he built physics-informed neural network representations of quantum wavefunctions and accelerated training with domain constraints, and has hands-on experience with MCMC and Hamiltonian Monte Carlo for experimental model fitting. He combines deep mathematical training in physics and mathematics with production-oriented data science at a commercial bank, bringing rigor in uncertainty quantification and numerical methods to business problems. Based in Columbus, Ohio, he is adept at turning complex differential-equation and Monte Carlo techniques into robust predictive models—an asset when tackling noisy, physics-adjacent datasets in industry.
7 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy, Physics, Doctor of Philosophy, Physics at The Ohio State University
Bachelor of Science, Physics, Bachelor of Science, Physics at Michigan State University
Nuclear physics at low renormalization group resolution.
Contributions:3021 commits, 5 PRs, 330 pushes in 3 years 9 months
physicsmfcpythonentropyresolution
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.