Welcome to the website of the AIDOS LAB at the Institute of AI for Health, an institute of Helmholtz Munich! We are fascinated by discovering hidden structures in complex data sets, in particular those arising in healthcare applications.
Our primary research interests are situated at the intersection of geometry, topology, and machine learning. We want to make use of geometrical and topological information to imbue neural networks with more information in their respective tasks, leading to better and more robust outcomes. Along the way, we develop new manifold learning techniques, new representation learning algorithms, and much more.
Following the dictum ’theory without practice is empty,’ we address challenges in biomedicine and healthcare applications.
Check out our research to learn more.