Frederic finished his masters degree in astrophysics at the University of Aachen (RWTH) before joining the TIO group at IKIM as a data scientist and PhD student. His projects include RadNet, which in analogy to ImageNet focuses on scaling the pretraining base of specialized neural networks to large quantities of medical imaging data, and MOMO, a deep-learning algorithm which can identify the nature of a radiological imaging study automatically to facilitate cross-hospital data exchange and archiving.