I am a professor in the Machine Learning group at the Department of Informatics, University of Bergen. I am also a member of the Center for Data Science and the Energy Informatics Lab. For contact details, have a look at my University website.

My research interests are focused on geometric and topological methods in machine learning and their application in medicine and the energy domain. Geometric methods refer to taking advantage of the underlying space from which data is sampled, such as the sphere in the case of global weather data. Topological methods refer to the analysis of data shape and is closely related to manifold learning. For more information, see here.

In my free time I enjoy dancing swing dances (balboa, lindy hop, boogie woogie), playing board games, hiking, running, cooking and reading.