Summary
Stefano Mazzei is a data scientist with a strong academic foundation in condensed matter physics (PhD) and over a decade of technical experience focused on numerical simulation and ML-driven applications. He built and ran large-scale Schrödinger equation simulations on national HPC centers, developing production-grade Python code and expertise with numpy and scientific tooling. Transitioning from physics research into applied machine and deep learning, he has practical experience in computer vision, TensorFlow/Keras, and Scikit-Learn, and has worked in industry roles at SportsDynamics and Descartes Underwriting. Based in Paris, he combines rigorous mathematical training with hands-on data engineering and modeling skills, and is adept at turning complex research problems into reproducible code and publishable results. An understated strength is his familiarity with HPC workflows and performance-aware numerical implementation, which helps bridge research prototypes to scalable production systems.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Fisica, Doctor of Philosophy - PhD, Fisica at École Polytechnique
Laurea triennale in Fisica, Solid State Physics, Laurea triennale in Fisica, Solid State Physics at Università di Pisa
French, Italian, English