Max Welling is a professor of Computer Science at the University of Amsterdam and has an appointment at the Canadian Institute for Advanced Research (CIFAR).
His research focuses on large-scale statistical learning, graphical models and deep learning. He co-founded Scyfer, a University of Amsterdam spin-off specialized in Deep Neural Networks which bridges the gap between the existing knowledge of machine learning in the academic world and the companies that want to benefit from vast amount of data. He is currently a scientific advisor for the company.
He has made contributions in distributed Bayesian learning, variational Bayesian learning, learning of Markov random Field models, approximate inference in graphical models, hierarchical models of complex cells and products of expert models, algorithms for learning image taxonomies, visual object recognition, information retrieval, image de-noising, and statistical shape analysis.
Max Welling serves as associate editor in chief of IEEE TPAMI. He serves on the editorial boards of JMLRand JML and was an associate editor for Neurocomputing, JCGS and TPAMI. In 2009 he was conference co-chair for AISTATS, in 2013 he was program co-chair for NIPS, in 2014 he will be general co-chair for NIPS and in 2016 he will be program co-chair at ECCV. Max received multiple grants from NSF, NIH and ONR-MURI among which an NSF career grant in 2005. He is recipient of the ECCV Koenderink Prize in 2010 and the best paper award at ICML 2012.
In the past he held postdoctoral positions at Caltech (’98-’00), UCL (’00-’01) and the U. Toronto (’01-’03). He received his PhD in ’98 under supervision of Prof. G. ‘t Hooft.