Welcome to my homepage. I am full professor of Probabilistic Graphical Models at Radboud University and lead a research group with the same name at the Donders Institute for Brain, Cognition and Behaviour. In this group we study algorithmic and conceptual aspects of PGMs (in particular Bayesian and Credal Networks) with a focus on approximate inference algorithms, (parameterized) computational complexity, explainability and robustness. Our main application are in healthcare (clinical decision support systems that are maintainable, can explain their advise, and reflect on their trustworthiness) and in energy-lean Bayesian representation and computation (reducing the carbon footprint of computation with modal and brain-inspired computing).

I am director of the AI programme, programme leader of the Personalised Care in Oncology (PersOn) consortium, and work package co-leader of the Healthy Data initiative. 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 this reason.

Office hours: please contact me for an appointment.