Leonardo S. de Assis is a Senior Expert for Modeling and Optimization at Aurubis AG, specializing in data-driven decision support systems for operations and supply chain optimization since October 2018. Prior experience includes roles as a Research Assistant at Universidade Federal de Santa Catarina, developing optimization models for Petrobras, and multiple research internships at Carnegie Mellon University focused on crude oil supply management and non-convex functions in blending problems. Earlier roles span various internships in data analysis, software development, and electrical engineering, culminating in a Ph.D. in Automation and Systems Engineering from Universidade Federal de Santa Catarina, achieved in 2020.
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