Organizers

Marc Deisenroth (Imperial College London)

Max Welling (University of Amsterdam)

Marc Deisenroth is a Lecturer in Statistical Machine Learning at the Department of Computing, Imperial College London. Prior to his appointment, he was anImperial College Research Fellow (09/2013–06/2015), Senior Research Scientist & Group Leader at TU Darmstadt (12/2011–08/2013), and Research Associate at the University of Washington and Intel Labs Seattle (02/2010–12/2011). Marc completed his PhD in 2009 with Carl Edward Rasmussen. Marc was Program Chair of EWRL 2012 and received a Best Paper Award at ICRA 2014. He is a recipient of a Google Faculty Research Award and a Microsoft PhD Scholarship. Marc’s research interests center around data-efficient machine learning methods (with a focus on Bayesian methods), with the objective to increase the level of autonomy in learning systems by modeling and accounting for uncertainty in a principled way. Potential applications include personalized healthcare, autonomous robots and bio-chemical systems.

Shakir Mohamed is a senior research scientist at Google DeepMind, working in statistical machine learning and artificial intelligence. His research aim to develop more intelligent and general-purpose learning algorithms, especially those lying at the intersection of probabilistic reasoning, reinforcement learning, and deep learning. Before moving to London, Shakir held a Junior Research Fellowship from the Canadian Institute for Advanced Research (CIFAR) as part of the programme on Neural Computation and Adaptive Perception. He was based in Vancouver at the University of British Columbia with Nando de Freitas. Shakir completed his PhD with Zoubin Ghahramani in 2010 at the University of Cambridge, where he was a Commonwealth Scholar to the United Kingdom and a member of St John's College.

Finale Doshi-Velez is an assistant professor at the Paulson School of Engineering and Applied Sciences at Harvard. She is interested in developing machine learning methodologies for extracting human-interpretable knowledge from data, with a particular focus on healthcare applications. Prior to her appointment at Harvard, she was an NSF CiTRaCS postdoctoral fellow at Harvard Medical School. She completed her PhD with Nicholas Roy in 2012 from MIT and MsC with Zoubin Ghahramani in 2009 from the University of Cambridge, where she was a Marshall Scholar and Trinity Prince of Wales Scholar.

Andreas Krause is an Associate Professor of Computer Science at ETH Zurich, where he leads the Learning & Adaptive Systems Group. Before that he was an Assistant Professor of Computer Science at Caltech. He received his Ph.D. in Computer Science from Carnegie Mellon University (2008) and his Diplom in Computer Science and Mathematics from the Technical University of Munich, Germany (2004). He is a Microsoft Research Faculty Fellow, received an ERC Starting Investigator grant, an NSF CAREER award as well as best paper awards at several premier conferences and journals

Max Welling is a research chair in Machine Learning at the University of Amsterdam and has secondary appointments as full professor at the University of California Irvine and as a senior fellow at the Canadian Institute for Advanced Research (CIFAR). He is co-founder of “Scyfer BV” a university spin-off in deep learning. 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. Max Welling has served as associate editor in chief of IEEE TPAMI from 2011-2015. He serves on the board of the NIPS foundation since 2015 and has been program chair and general chair of NIPS in 2013 and 2014, respectively. He was also program chair of AISTATS in 2009 and will be a program chair of ECCV in 2016. He has served on the editorial boards of JMLR and JML and was an associate editor for Neurocomputing, JCGS and TPAMI. He received multiple grants from Google, Facebook, Yahoo, SAP, Samsung, NSF, NIH, NWO 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. Welling is currently the director of the master program in artificial intelligence at the UvA, he is in the board of the Data Science Research Center in Amsterdam and he co-directs the Qualcomm-UvA deep learning lab.