Organizers

Francisco Ruiz
General Chair

Francisco is a Research Scientist working at DeepMind in the Deep Learning Team. His research is focused on statistical machine learning, specially probabilistic modeling, approximate inference, gradient estimation, generative models, and applications of machine learning to signal processing and mathematics. Before joining DeepMind, Francisco was a Postdoctoral Research Scientist in the Department of Computer Science at Columbia University and in the Engineering Department at the University of Cambridge, where he held a Marie-Sklodowska Curie fellowship in the context of the E.U. Horizon 2020 program. He completed his Ph.D. and M.Sc. from the University Carlos III in Madrid.

Jan-Willem van de Meent
Program Chair
Jennifer Dy
Program Chair
Stephan Mandt
Sponsorship Chair
Miguel-Ángel Fernández-Torres
Local Chair

Miguel-Ángel Fernández-Torres received the Audiovisual Systems Engineering degree, the Master degree in Multimedia and Communications and the Ph.D. degree in Multimedia and Communications from Universidad Carlos III de Madrid, Spain, in 2013, 2014 and 2019, respectively. During the Ph.D. period, his research was related to spatio-temporal visual attention modeling and understanding, applying both Bayesian networks and deep learning. After two years as teaching assistant at Universidad Carlos III de Madrid, Spain, he works at present as postdoctoral researcher in the ERC USMILE project, taking part in the Image and Signal Processing Group at the Universitat de València, Spain. His current research within the area of Machine Learning for Earth and Climate Sciences involves the design and understanding of explainable deep generative models and machine attention mechanisms to be deployed for anomaly and extreme event detection.

In addition to his work on visual attention, he has participated in other projects within the Computer Vision field, which include image and video analysis, and medical image analysis and classification. He had also the opportunity to study at Technische Universität Wien, Vienna, Austria, during the Bachelor degree, in 2013, and to do a Ph.D. stay at the Visual Perception Laboratory of Purdue University, West …

Miguel-Ángel Fernández-Torres
Volunteer Chair

Miguel-Ángel Fernández-Torres received the Audiovisual Systems Engineering degree, the Master degree in Multimedia and Communications and the Ph.D. degree in Multimedia and Communications from Universidad Carlos III de Madrid, Spain, in 2013, 2014 and 2019, respectively. During the Ph.D. period, his research was related to spatio-temporal visual attention modeling and understanding, applying both Bayesian networks and deep learning. After two years as teaching assistant at Universidad Carlos III de Madrid, Spain, he works at present as postdoctoral researcher in the ERC USMILE project, taking part in the Image and Signal Processing Group at the Universitat de València, Spain. His current research within the area of Machine Learning for Earth and Climate Sciences involves the design and understanding of explainable deep generative models and machine attention mechanisms to be deployed for anomaly and extreme event detection.

In addition to his work on visual attention, he has participated in other projects within the Computer Vision field, which include image and video analysis, and medical image analysis and classification. He had also the opportunity to study at Technische Universität Wien, Vienna, Austria, during the Bachelor degree, in 2013, and to do a Ph.D. stay at the Visual Perception Laboratory of Purdue University, West …

Christian Andersson Naesseth
Workflow Chair
Davin Hill
Workflow Chair

I am a PhD candidate in the ECE department at Northeastern University and part of Dr. Jennifer Dy’s Machine Learning Lab at the SPIRAL research center. I’m broadly interested in improving transparency in black-box prediction models, specifically in relation to interpretability and uncertainty quantification.

Sinead Williamson
D&I Chair

Sinead Williamson is an Assistant Professor of Statistics at the University of Texas at Austin, in the IROM Department and the Division of Statistics and Scientific Computation. She obtained her Ph.D. from the Computational and Biological Learning group at the University of Cambridge and spent two years as a postdoc in the SAILING laboratory at Carnegie Mellon University.

Tomas Geffner
Publication Chair
Maggie Makar
Communications Chair
Pavel Izmailov
Communications Chair