Dmitry Fedorov is a data scientist with a Ph.D. in Chemical Physics and nearly a decade of experience translating advanced scientific methods into production-ready AI and data solutions. He has moved from academic research—where he developed novel quantum simulation algorithms and open-source computational chemistry tools that cut simulation and analysis time dramatically—to industry roles building ML-driven healthcare and rewards analytics in cloud environments. Dmitry combines deep expertise in quantum algorithms, molecular simulation, and high-performance computing with practical ML deployment skills, making him adept at turning cutting-edge research into scalable products. Based in Chicago, he brings a track record of reducing computational cost by orders of magnitude and automating analysis workflows that once consumed tens of hours per publication.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Chemical Physics, Doctor of Philosophy (Ph.D.) Chemical Physics at University of Nevada, Reno
M.S. & B.S. Condensed Matter and Materials Physics, M.S. & B.S. Condensed Matter and Materials Physics at Siberian Federal University
A python package for performing full multiple spawning nonadiabatic molecular dynamics simulations
Contributions:127 commits, 123 pushes, 2 branches in 1 year 11 months
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