He achieved a Bachelor’s Degree in Electronic Engineering in 2018 and a Master’s Degree in Mechatronic Engineering in 2020 at Politecnico di Torino, presenting the thesis “Deep Learning Methodologies for UWB Ranging Error Compensation”. His research focuses on Machine Learning for robotic applications in everyday-life contexts.