Moritz Knolle is a doctoral researcher at the Chair for AI in Healthcare and Medicine at the Technical University of Munich, supervised by Georgios Kaissis, Ben Glocker and Daniel Rueckert. Moritz is affiliated with the TUM University Hospital and the Konrad Zuse School of Excellence in Reliable AI.
Privacy risk is typically measured in aggregate across a dataset/population. Moritz is interested in quantifying what a deployed medical AI model actually leaks about individual patients — and how that risk is distributed across individuals and subgroups.
Medical AI models memorise parts of the records they are trained on. Moritz studies what this means for the patients behind those records once the models are deployed, including how memorisation can bias predictions about their future health.
Trust in medical AI depends on more than accuracy. Trust requires models whose behaviour and performance are consistent across patients and subgroups, stable under changing conditions and resistant to misuse.
* denotes equal contribution. Full list on Google Scholar.
moritz.knolle[at]tum.de
TranslaTUM, Einsteinstraße 25, 81675 Munich, Germany
