Welcome to my homepage. I am employed as associate professor at the Donders Institute for Brain, Cognition and Behaviour. My research interests are mainly in artificial intelligence, theoretical computer science, theoretical/computational neuroscience, cognitive science, and philosophy; in particular in interdisciplinary research that crosses the boundaries between these fields. Within the Donders Institute I am principle investigator of the Foundations of Natural and Stochastic Computing group. In this group we study algorithmic and conceptual aspects of Bayesian networks (e.g., approximate inference algorithms, computational complexity, explainable AI) and fundamental aspects of information processing in brain-inspired neuromorphic architectures (e.g., algorithms, complexity framework, hardware realization of approximate Bayesian inference). My main application areas are in healthcare (clinical decision support systems that are maintainable, can explain their advise, and reflect on their trustworthiness) and in energy-lean computation (reducing the carbon footprint of computation with novel brain-inspired computing)

I am director of the AI educational programme and teach several courses in our bachelor and master programme. On this pages you will find information about my research interests, an up-to-date vita, list of publications and talks, teaching info, indicative thesis projects, and some links, both professional and some a bit more personal.

Disclaimer: As I normally don't have any financial means to provide anyone with a funded (summer) internship, it is useless to solicit for such an internship, a TA or a RA position, unless explicitly advertised. You are welcome, however, to contact me if you're supported by a fellowship or travel grant and interested in visiting our group and work on a thesis or smaller project. Other disclaimer: I do not respond to bulk emails that invite me to such-and-such unrelated conference or to publish in a random predator journal. They automatically end up in my spam folder. If you honestly think there is a good reason why I should visit or publish in your venue, bypass this spam filter by writing an intelligent message that articulates the commonalities.

Office hours: please contact me for an appointment.