01/2020: Matthew B. Blaschko received the B.S. degree from Columbia University and the M.S. degree from the University of Massachusetts Amherst. He also received the Doctorate in electrical engineering and computer science (summa cum laude) from the Technische Universit??t Berlin for work done at the Max Planck Institute for Biological Cybernetics, T??bingen, Germany. Subsequently, he was a Newton International Fellow in the Department of Engineering Science, University of Oxford and received the Habilitation from the Ecole Normale Sup??rieure de Cachan, France. Prior to joining KU Leuven, he was a Permanent Research Scientist in the INRIA Saclay Research Center and a Faculty Member at Ecole Centrale Paris. From 2015 he is a Professor in the department of Electrical Engineering at KU Leuven, Belgium. His research interests include machine learning techniques applied to visual data. Prof. Blaschko has been guest editor of a special issue in the International Journal of Computer Vision, co-oranizer of the First and Second workshops on Learning with Limited Labeled Data held at NeurIPS and ICLR, respectively, and an area chair for top venues in computer vision and machine learning including Neural Information Processing Systems (NeurIPS), the International Conference on Learning Representations (ICLR), the International Conference on Machine Learning (ICML), the International Converence on Computer Vision (ICCV), the European Conference on Computer Vision (ECCV), Computer Vision and Pattern Recognition (CVPR), Artificial Intelligence and Statistics (AISTATS), and the British Machine Vision Conference (BMVC). He received the Main Prize of the German Association for Pattern Recognition and Best Paper Awards at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) and European Conference on Computer Vision (ECCV).