Research: Recurrent Neural Networks as replicas of physical systems
I graduated in physics with a bachelor's degree (110/110) and a master's degree (110/110) with a theoretical curriculum in statistical mechanics. I was mainly interested in computational and simulative aspects, because in my opinion there is often a correlation between the difficulties of numerical computation and the physics of systems. In this PhD program I will focus on neural networks, and in particular how they can represent physical systems even intrinsically stochastic. I have programmed for many years in C, now I'm focusing on Julia.