Nikolai Polley is research associate, vice group leader, and teaching assistant for the lectures “Machine Learning 1: Fundamentals” and “Machine Learning 2: Advanced Methods” at ATKS. In 2021, he completed his studies in computer science at KIT with a focus on machine learning. His research focuses on neural network methods, in particular deep learning approaches for environment perception, scene understanding, and predicting the behavior of traffic participants.