Julius Ott received his B.Sc. degree and M.Sc. degree in electrical engineering from the Technical University of Munich (TUM) in Germany in 2020 and 2022, respectively. In 2022, he joined Infineon Technologies AG as a Ph.D. candidate and began working with the Chair of Design Automation at TUM on latent space optimization for improved radar vision. He has published notable work in contrastive learning and neural network regularization. His primary research interests are radar-based tracking algorithms and sequence modeling. In this area, he explores reinforcement learning algorithms and different architectures.