I am an assistant professor at the Medical Image Analysis group at Eindhoven University of Technology. Before this I was a postdoc at the Biomedical Imaging Group Rotterdam, Erasmus Medical Center. Before that, I was a PhD student at the Pattern Recognition Laboratory, Delft University of Technology, and a visiting PhD student at the Max Planck Institute for Intelligent Systems in Tuebingen, Germany.

My research focuses on machine learning in medical image analysis. Machine learning algorithms learn from examples in order to make predictions about novel data. For example, by learning from medical scans with annotated abnormalities, the algorithms can detect abnormalities in previously unseen patients. See my research/publications page for more details.

Another project is my blog, where I try to improve the experiences that others have in academia by sharing my own experiences as a PhD student, postdoc, and now faculty. Some popular posts are:

If you are interested in any of these topics, have a question about a publication etc, please get in touch!

Recent news

I’m hosting a short survey to improve my blog – if you have 5 minutes to spare, please tell me what you think!

September 2017: I am one of the organizers of the MICCAI LABELS workshop in Quebec, Canada

June 2017: I will give a talk on previous multiple instance learning work at Benelearn 2017

21 March 2017: I will present a poster on our crowdsourcing work at the Dutch ICT Research conference, ICT.Open

17th March 2017: I am giving a talk in the seminar of the Data Mining group at Eindhoven University of Technology

Read all news here