Marco Lorusso

A Physics Ph.D. student at the University of Bologna since 2021, conducts research on applying Machine Learning algorithms to High Energy Physics. Specifically, the focus is on implementing neural networks on Field Programmable Gate Arrays (FPGA) to adapt them to the time constraints typical of experiments like CMS at CERN in Geneva.

He is currently involved in research on the development of quantum computing libraries, applied both to high-energy physics and other fields. At the same time, he explores the integration of Machine Learning as an innovative approach to address some of the unique challenges posed by this emerging technology.