Zhejun Zhang is a research intern at the NVIDIA autonomous vehicle research group. He is also a PhD student advised by Prof. Luc Van Gool at the Computer Vision Lab (CVL) of ETH Zurich. Before joining CVL, he received his B.Sc. degree from TU Munich and his M.Sc. degree from ETH Zurich, both in the department of information technology and electrical engineering with a focus on control and system theory. His research interests include imitation learning, reinforcement learning, world models, Transformers, and their applications to autonomous driving and robotics. In particular, he is working on the problem of planning in highly interactive driving scenarios from a data-driven perspective by combining end-to-end policy learning and neural simulation.