Enrico Rinaldi

My research is focused on the study of strong dynamics in QCD and other gauge theories using lattice simulations on petascale supercomputers. The goal of my research is to understand strongly-interacting gauge theories with applications to nuclear physics and high-energy elementary particle physics. In the current supercomputing and big data era, machine learning has become a useful approach for solving computational physics problems. At the same time, using physical and geometrical concepts in machine learning algorithms can improve the reach of these new approaches to discovery.