Xavier Bresson (PhD 2005, EPFL, Switzerland) is Associate Professor of Computer Science at the Nanyang Technological University (NTU) in Singapore. His current research focuses on bridging the gap between sparse data representation and spectral graph theory to design new algorithms for big data science. He has published 60 peer-reviewed papers, and received in 2016 the highly competitive Singaporean NRF Fellowship. He introduced in 2015 the first modern course of data science and graph science at the EPFL and in 2016 designed a three-day training workshop on data science for EPFL alumni. He gave a tutorial on Convex Relaxation Methods in Imaging Science at ICIP 2011, and was the chair of the 2013 international workshop on Convex Relaxation Methods in Scientific Computing at the Institute for Pure and Applied Mathematics (IPAM), UCLA. He also co-organized in 2014 the SIAM Conference on Imaging Science in Hong Kong.