Kilian Gildemeister

Kilian received his M.Sc. in Computer Science from RWTH Aachen University and his B.Sc. in Computer Engineering from Otto-von-Guericke University Magdeburg. During his studies, he specialized in deep learning and anomaly detection, completing his master’s thesis on utilizing temporal dependencies for intrusion detection. He gained practical experience during his studies in applied machine learning at Fraunhofer IPT and Porsche AG. Now as a PhD student, Kilian aims to apply advanced machine learning techniques and state-of-the-art LLMs to the medical field. He is particularly interested in enhancing medical applications to bridge the gap between theoretical AI models and clinical implementation.