Christian completed his Master's degree in Medical Engineering at the University of Duisburg-Essen, where his thesis centered on evaluating machine learning approaches for recognizing motion intentions from EEG data. At his current role, he specializes in utilizing Generative Adversarial Networks for medical image-to-image translation tasks.