He is a PhD candidate in Electrical Engineering at the University of Bologna, specializing in applied measurements for power systems. His doctoral research centers on the advancement of Phasor Measurement Unit (PMU) technology for enhanced monitoring and control in active distribution networks. Complementing his core research, he has developed strong competencies in machine learning and predictive modeling, as evidenced by relevant certifications and his application of these techniques to challenges like predictive maintenance. His practical engineering background includes internships in the energy and industrial automation sectors (Saipem, ABB, Schlumberger), where he gained experience in electrical design, certification, and process optimization. This blend of deep theoretical research in power system instrumentation and applied data science skills positions him at the intersection of traditional electrical engineering and modern data-driven grid management.