I am a Research Director at Meta AI (FAIR team). I lead a team of 60+ researchers who develop AI technology to solve grand challenges in the natural sciences. Before, I worked as an Assistant Professor (with tenure) at Delft University of Technology, 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.
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, cost-sensitive learning, and applications in the arts and sciences.
Press and Awards
My work on web-scale weakly supervised learning was featured in Meta CTO 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.
Our DenseNet paper received the CVPR 2017 Best Paper Award. The Fisher information loss paper received the UAI 2021 Best Paper Award. Prior, I received the SNN Machine Learning Award 2012 and won the Merck Visualization Challenge on Kaggle.