Ítalo Santana is a Senior Research Scientist with a decade of experience at the intersection of Operations Research and Machine Learning, currently driving research and IP development at Dell Technologies. His PhD work and internships applied graph neural networks and ML-guided heuristics to NP-hard routing and combinatorial optimization problems, yielding multiple peer-reviewed papers. He bridges theory and practice by using ML to speed OR solvers and conversely applying OR techniques to accelerate ML training, with hands-on expertise in C/C++, Python, Julia (JuMP), and CPLEX. Past roles span data science in production cloud environments (AWS, Spark, NLP) and full-stack/system analyst work, reflecting a rare blend of algorithmic research and engineering delivery. Notably, his research has produced tangible solver improvements for vehicle routing and minimum latency problems, making him effective at translating academic advances into business-facing technologies.
10 years of coding experience
3 years of employment as a software developer
Study Abroad program, Computer Science, Study Abroad program, Computer Science at The University of Western Australia
Master's degree, Combinatorial Optimization, Master's degree, Combinatorial Optimization at Universidade Federal Fluminense
Pontifical Catholic University of Rio de Janeiro
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universidade Federal do Tocantins
Modern implementation of the hybrid genetic search (HGS) algorithm specialized to the capacitated vehicle routing problem (CVRP). This code also includes an additional neighborhood called SWAP*.
Contributions:102 pushes in 2 years
swapgeneticcvrpadditionalneighborhood
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Ítalo Santana - Senior Research Scientist at Dell Technologies