Marco Lorusso

He obtained a PhD in Physics with honors from the University of Bologna in 2025, conducting research on the application of Machine Learning algorithms to High-Energy Physics. Specifically, he focused on implementing neural networks on Field Programmable Gate Arrays (FPGAs) to make them suitable for the time constraints characteristic of triggers in experiments like CMS at CERN in Geneva.

Currently, he is also engaged in research on the development of quantum computing libraries, applied both to high-energy physics and other fields. In parallel, he is exploring the integration of Machine Learning as an innovative approach to tackle specific challenges in this emerging technology.