Summary
Fabio Colombo is a PhD student in Maths and Statistics for the Computational Sciences at the University of Milan with 13 years of hands-on experience in operations research and combinatorial optimization. He blends deep academic expertise—published work and algorithms for column generation, branch-and-cut and ILP—with practical software engineering skills in C/C++, Java, multithreading and MapReduce, applied during a Google OR internship solving large-scale bin-packing. Fabio has built web and geo-approximation systems in industry and academia, demonstrating an uncommon mix of exact and heuristic technique design plus full-stack implementation. His toolset spans CPLEX/AMPL, Boost, MySQL and modern web stacks, and he frequently turns theoretical models into production-ready code. Notably, he has consistently graduated top of his class and presented optimization results at international forums, signaling both rigorous scholarship and applied impact.
13 years of coding experience
University of Milan
Math, Physics, Computer Science, Humanities, 100/100, Math, Physics, Computer Science, Humanities, 100/100 at Liceo Scientifico
English