Fryderyk Kögl is a PhD student at the Chair of Computational Imaging and AI in Medicine at the Technical University Munich (TUM). He received his B.Sc. in Engineering Science and M.Sc. in Biomedical Computing from TUM. In his Master’s thesis at the Harvard Medical School he curated the largest public dataset for pre- to post-MR/iMR/US registration, developed a 3D Slicer extension for data curation, developed a low-cost and tool-free neuronavigation method and worked on deep learning patch-based registration. His research interests lie in deep Learning-based image registration, data curation & visualisation and neuronavigation.