Graduated in Physics at the Department of Physics and Geology of the University of Perugia in 2017, he received a Ph.D. in Physics from University of Padova in 2020. During his Ph.D. , Dr. Papini worked on modelization of black hole solutions in the context of String Theory, specializing in solving (numerically and analytically) non-linear differential equations and in analyzing the various black hole parameters by using various data analysis techniques. From July 2021, Lorenzo started working with UBT team, focussing on data analysis and development of machine learning algorithms to be applied to the collected data.