Summary
Nicola Farenga is a Mathematical Engineering researcher and teaching assistant at Politecnico di Milano with nine years of hands-on experience in quantitative computation and numerical analysis. Currently a Ph.D. student at MOX Laboratory, he blends academic research with product engineering as the creator of GDXM, a platform delivering real-time, high-quality cryptocurrency market data. His background in computational science and computational learning underpins work at the intersection of numerical methods and finance, and he teaches Numerical Analysis, bringing theory into practical coding exercises. Based in Italy, Nicola combines rigorous academic training with a builder’s mindset, often turning mathematical models into production-ready data systems. Notably, his work focuses on latency-sensitive data delivery—an uncommon emphasis for someone rooted in mathematical engineering.
9 years of coding experience
Doctor of Philosophy, Doctor of Philosophy at Politecnico di Milano
Italian, English