Summary
Renato Melo is a research-driven optimization specialist with 12 years of experience and a Ph.D. in Computer Science, currently serving as a Research Associate at the University of Luxembourg. He combines six years of academic research in combinatorial optimization and mixed integer programming with practical delivery of large-scale supply chain optimization software in industry. Proficient in Python, C++, Java and solvers like Gurobi, SCIP, Google OR-Tools and COIN-OR, he translates business requirements into mathematical models and production-ready solutions. Renato has led end-to-end projects—from theoretical algorithm design and provable guarantees to heuristic implementations and stakeholder-facing product features. He has a track record of working across international teams and industries, and notably delivered his employer’s first large-scale supply chain optimizer. His background as both a lecturer and researcher gives him a rare blend of pedagogical clarity and rigorous technical depth.
12 years of coding experience
9 years of employment as a software developer
Ph.D., Computer Science, Ph.D., Computer Science at Federal University of Paraná
Degree in Computer Science, Degree in Computer Science at State University of Mato Grosso