Welcome
Welcome to the website of the AIDOS Lab at the University of Fribourg. We are fascinated by discovering hidden structures in complex data sets, in particular those arising in healthcare and environmental applications.
Our primary research interests are situated at the intersection of geometry, topology, and machine learning. From data-centric evaluation frameworks to novel architecture developments, we make use of geometrical and topological information to imbue our methods with foundations that foster interpretability and robustness. 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 page to learn more about our current projects.
If you are student at the University of Fribourg and are interested in writing a bachelor’s or master’s thesis with us, please get in touch.
Mission Statement
‘AIDOS’ has two meanings that complement each other well. The first meaning refers to our mission statement, viz. to develop Artificial Intelligence for Data-Oriented Science. The second meaning originates from the Greek word ‘αἰδώς,’ which means ‘awe,’ ‘reverence,’ or ‘humility.’ This awe or humility should serve as one of our guiding principles when we work on challenging problems, aiming to improve the world using machine learning.