Guillaume Salha-Galvan

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I am Guillaume, from France. I am an Associate Professor in Machine Learning at Shanghai Jiao Tong University (SJTU). I am a faculty member of the SJTU Paris Elite Institute of Technology, an international research and teaching institute established at SJTU in partnership with four leading French engineering schools: École Polytechnique, Mines Paris, Télécom Paris, and ENSTA. I am also currently building my own Sino-French Data & AI Lab, supported by several competitive research grants and programs. My research interests span the broad areas of machine/deep learning, large language models (LLMs), graph learning, recommender systems, and their applications. I have published over 30 scientific articles in peer-reviewed journals and leading international conferences, where I also regularly serve as a reviewer. My work has been nominated for multiple best paper awards over the years. 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 French music streaming service. I continue to collaborate regularly with several companies, and applying my research to industrial challenges remains a core part of my work and overall goals. Several of my papers have had significant real-world impact, notably by powering recommender systems used by millions. 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.