Summary
Mauro Tosi is an R&T Scientist with a decade of experience blending academic rigor and applied research in machine learning, currently investigating low-modeling approaches at LIST. He earned a PhD from the University of Luxembourg for developing TensAIR, a system that trains deep neural networks on streaming data and adapts to concept drift via techniques spanning non-convex optimization, decentralized/asynchronous computing, and online statistics. His background includes a strong foundation in complex networks, NLP, and knowledge graphs from UNICAMP, where he built ScikGraph to visualize evolving scientific domains. Mauro bridges theory and engineering—prototyping production-ready research tools and open-source projects on GitHub—while maintaining a global perspective informed by study and travel across multiple countries. Notably, his work centers on automating model development to drastically cut engineering time, reflecting a practical obsession with extracting insights directly from raw data.
10 years of coding experience
4 years of employment as a software developer
Exchange undergraduate program, Computer Science, Exchange undergraduate program, Computer Science at Georgia State University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Luxembourg
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at The University Center of FEI
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Universidade Estadual de Campinas
Escolas Técnicas Estaduais