Natascha Niessen pursues her PhD project in a joint collaboration between GE Healthcare and the Chair of Computational Imaging and AI in Medicine at TU Munich, as well as the department of psychiatry at LMU. As part of her French-German double-degree she received her Engineering Diploma (M.Sc.) from CentraleSupélec and her M.Sc. in Electrical Engineering from TU Munich with a focus on medical imaging and machine learning. In her Master‘s thesis at Stanford University, she developed a novel approach for validating multi- compartment fitting algorithms for brain magnetic resonance imaging (MRI). Her research interests lie in the development of Deep Learning-enabled MRI reconstruction and early Alzheimer’s Disease prediction as part of the european PREDICTOM project.