Summary
Tiberiu Tesileanu is a research software engineer in New York with a PhD in theoretical and mathematical physics and a decade of experience building scientific software at the intersection of neuroscience, computational biology, and machine learning. He has moved from string theory to applied problems—developing biologically plausible neural models, protein-structure computation, and EMG systems at Meta—while prioritizing clear thinking and clean, maintainable code. At the Simons Foundation and CUNY he combined modeling, differential-equation solving, and software design to turn complex theory into reproducible, cross-disciplinary tools. Colleagues rely on him for bridging rigorous theory and production-quality engineering, and he brings an uncommon mix of theoretical depth and hands-on software craft to applied ML problems.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Jacobs University Bremen
Doctor of Philosophy - PhD, Theoretical and Mathematical Physics, Doctor of Philosophy - PhD, Theoretical and Mathematical Physics at Princeton University