Andrea Ghezzi is a PhD candidate at the SYSCOP Laboratory, University of Freiburg, and a Marie-Curie fellow in the ELO-X network, specializing in numerical optimization for estimation and control. With four years of research experience spanning academia and industry, he has worked as a visiting scholar at Argonne, interned at Mitsubishi Electric Research Labs, and collaborated with industrial partners on virtual sensing and dual control. His background blends rigorous control theory (MS cum laude from Politecnico di Milano) with hands-on data science applications, including a published IMU-based terrain recognition project. Andrea’s work often focuses on bringing optimization methods into practical embedded and industrial settings, and he has a track record of short-term research placements that accelerate technology transfer.
4 years of coding experience
1 year of employment as a software developer
Liceo Scientifico Statale "Lorenzo Mascheroni"
Master of Science - MS, Automation and Control Engineering, 110/110 cum laude, Master of Science - MS, Automation and Control Engineering, 110/110 cum laude at Politecnico di Milano
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