Enys Mones is a Lead Data Scientist with 11 years of experience applying mathematical physics and complex-systems thinking to real-world data problems across fintech, telecom, and developer analytics. Currently leading data science at CodeScene, he translates research-grade modeling and large-scale simulations into actionable insights for software health and organizational decision making. His background includes senior data science roles at Danske Bank and Sony Mobile and a postdoc at DTU, where he analyzed human behavioral patterns with statistical and simulation methods. He earned a summa cum laude PhD in Theoretical and Mathematical Physics and brings deep expertise in network dynamics, collective behavior, and vulnerability analysis on spatial networks. Not obviously apparent from his titles, he repeatedly bridges theory and product—running online experiments, parallelized particle simulations, and shock-wave models to expose subtle system-level risks. Based in Copenhagen, he combines academic rigor with pragmatic delivery to turn complex phenomena into measurable business impact.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Theoretical and Mathematical Physics, Summa cum laude, Doctor of Philosophy (Ph.D.), Theoretical and Mathematical Physics, Summa cum laude at Eötvös Loránd University
Master's degree, Theoretical and Mathematical Physics, With distinction, Master's degree, Theoretical and Mathematical Physics, With distinction at Eötvös Loránd Tudományegyetem
Contributions:45 commits, 41 pushes, 1 comment in 3 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.