I’m 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. In particular I focus on scenarios where not enough annotated data is available, such as multiple instance learning, transfer learning and crowdsourcing. See my research page for more details.

Another project is my blog, where I write about academic life, failure, getting things done and other tips. Some popular posts are:

I also like trivia quizzes, beer and cats.


September 2018: I am organizing another LABELS workshop at MICCAI 2018 in Granada, Spain

July 2018: eScience-Lorentz workshop “Crowdsourcing in medical image analysis” in Leiden, The Netherlands

April 2018: I will join the student society Protagoras on their study visit to Japan

4 April 2018: Presentation at BME Research Day in Eindhoven

19 March 2018: Presentation at ICT.Open in Amersfoort, The Netherlands

See older events here


A friend of mine nominated me for the TechionistaAwards for inspiring women in STEM and I am now on the shortlist! (Update: I didn’t get the award, but all your messages about voting really helped me, thank you!)

We won the Lorentz-eScience Competition with our proposal for the “Crowdsourcing for Medical Image Analysis” workshop. This is an initiative together with Lora Aroyo (VU), Alessandro Bozzon (Delft University of Technology), Danna Gurari (University of Texas at Austin) and Zoltán Szlavik (IBM Center for Advanced Studies Benelux).  Read more about it on the TU/e website

July 2017: Two papers accepted at LABELS 2017: meta-learning in medical image analysis and crowdsourcing in chest CT images

January 2017: New preprint on classification of COPD now available on arXiV

December 2016: Our survey on multiple instance learning is now available on arXiv. Hats off to Marc-André Carbonneau who did most of the work!

See older news here

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