Leonardo graduated in Automotive Engineering from Politecnico di Torino in November 2025, with a Master’s thesis developed in collaboration with Gammatech Engineering (GTE) and Cornaglia on an automated 3D-CFD methodology for the optimization of battery cooling plate geometries in BEV applications.

After an internship at GTE focused on 3D-CFD analyses, he joined the e3 Research Group as a Ph.D. Student in March 2026. His research, co-funded by Dumarey Automotive Italia S.p.A., is devoted to the optimal design of innovative Thermal Management Systems (TMS) for Electrified Powertrains, addressing both sustainable refrigerants, advanced system architectures and advanced control strategies leveraging AI.

In his free time, he enjoys running, cycling and mountain activities, as well as spending time with friends over a beer.

“Without data, you’re just another man with an opinion” (W. Edwards Deming)