Erik Nygren holds a M.Sc. in Theoretical Particle Physics and a Ph.D. in Computational Neuroscience. His research focus was on lattice simulations during my physics studies and switched towards neural networks and machine learning during my Ph.D. He worked on learning in with recurrent neural network and currently investigate the possibilities of deep reinforcement learning. His main research focus are applications of deep learning and artificial intelligence. He currently works at the Research and Innovation Lab at Swiss Federal Railways SBB.