I am Guillaume, from France. I am an Associate Professor in Information Engineering at Shanghai Jiao Tong University (SJTU). I am a member of the SJTU Paris Elite Institute of Technology, an international research and teaching institute established at SJTU in partnership with four French engineering schools: École Polytechnique, Mines Paris, Télécom Paris, and ENSTA. Before joining SJTU, I gained nearly a decade of industry experience, including as Director of Research at the sustainability-driven organization Kibo Ryoku and as Research Scientist and Coordinator for Music Recommendation at Deezer, a leading French music streaming service. My research interests span the broad areas of machine/deep learning, graph learning, recommender systems, large language models, and their applications to music. I have published over 30 scientific articles in peer-reviewed journals and leading conferences, including ICML, KDD, WWW, IJCAI, EMNLP, and RecSys. I have received best paper awards or honorable mentions at RecSys (2020, 2021, 2024) and ECIR (2024). Several of these contributions have had real-world impact, notably by powering Deezer's recommender systems, which help millions discover music. I completed my Ph.D. in Computer Science at École Polytechnique, IP Paris. My doctoral research, supervised by Romain Hennequin and Michalis Vazirgiannis, was conducted in parallel with my work at Deezer, through a scientific and industrial partnership between both institutions. Prior to that, I graduated from ENS Paris-Saclay with an M.Sc. in Machine Learning (MVA), and from ENSAE Paris with an M.Eng. in Data Science, both with first-class honours.