Michael Bronstein received his PhD (with distinction) in Computer Science from the Technion in 2007. Since 2010, he is associate professor of Informatics at the University of Lugano (USI), Switzerland, where he leads a research group on geometric and visual computing. Since 2012, he also serves as research scientist and principal engineer for Perceptual Computing at Intel. Since 2016, he is appointed as associate professor of Applied Mathematics at Tel Aviv University in Israel. He also held visiting appointments at Politecnico di Milano (2008), Stanford university (2008-2009), INRIA (2009), Technion (2013, 2014), University of Verona (2010, 2014), Harvard university (2017-2018), MIT (2017-2018), and Tel Aviv University (2015-). His main research interests are theoretical and computational methods in spectral and metric geometry and their application to problems in computer vision, pattern recognition, shape analysis, computer graphics, image processing, and machine learning. Most recently, he is interested in deep learning on non-Euclidean structured data such as graphs and manifolds.