I am currently a Research Scientist at Facebook AI Research in New York. Before, I worked as an Assistant Professor at Delft University of Technology (to which I am still affiliated), and as a post-doctoral researcher under supervision of Lawrence Saul at University of California, San Diego. I received my Ph.D. from Tilburg University in 2009 under the supervision of Eric Postma and Jaap van den Herik. I have visited the labs of Geoffrey Hinton at University of Toronto, and of Maja Pantic at Imperial College London. I obtained an M.Sc. degree in computer science from Maastricht University in 2005.
Download my full resume (may be slightly outdated).
My main research interests are in machine learning and computer vision. In particular, I am interested in embedding models, large-scale weakly supervised learning, visual reasoning, and cost-sensitive learning.
Press and Awards
My work on web-scale weakly supervised learning was featured in Mike Schroepfer’s keynote at F8 2018 (at 14:27). The work also received extensive press coverage in, among others, Wired, VentureBeat, The Verge, and ZDNet.
I/O Magazine featured an article about my research, and Tweakers.net made a video report that features my work on tracking (in Dutch). I received the SNN Machine Learning Award 2012 and won the Merck Visualization Challenge on Kaggle. The DenseNet paper received the CVPR 2017 Best Paper Award.