Summary
Daniel Cordeiro is an assistant professor and researcher at the University of São Paulo with 11 years of professional experience and a PhD from Université de Grenoble, specializing in High Performance Computing, scheduling theory and sustainable computing. He combines rigorous theoretical work—multi-objective optimization, approximation algorithms and algorithmic game theory—with applied research on efficiently running HPC workloads in cloud environments. Since joining USP as faculty after postdoctoral research in Grenoble, he has bridged academic research and practical systems development, drawing on earlier industry roles as a software engineer and systems administrator. Based in São Paulo, he is known for framing algorithmic scheduling questions in real-world cloud and sustainability contexts, making theoretical insights directly useful for large-scale computation.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Université de Grenoble
University of São Paulo
English, French, Portuguese