I’m an assistant professor at the Learning and reasoning group at the Vrije Universiteit Amsterdam. I specialize in the combination of Machine Learning and Knowledge Representation.
I have a fairly unfocused set of research interests, although I try to stick to general AI and machine learning related topics. My MSc thesis, way back when, was about the application of fractal geometry to the problems of machine learning.
My PhD thesis dealt with the problems of computable approximations to Kolmogorov complexity, seperating structure from noise in an objective manner and, more practically, finding meaningful subnetworks in large graphs using the principle of minimum description length.
Since then, I have focused more on machine learning. See below for some of my current research directions.