Laboratoire d'informatique de l'École polytechnique

Guillaume Salha

Deezer Research / LIX

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I am a Research Scientist at Deezer in Paris, France. Since October 2018, I am simultaneously pursuing a Ph.D. in Machine Learning at École Polytechnique, under the supervision of Romain Hennequin and Michalis Vazirgiannis.

My research interests span the broad areas of Deep Learning and Graph Mining, with application to Music Recommendation. In my recent publications, I mainly focused on Graph Representation Learning, leveraging Graph Autoencoders models.

Prior to my Ph.D., I worked as a Data Scientist at Deezer for two years, conducting product-oriented projects to improve UX, conversion and churn. Even before, I also handled exciting challenges in Canada and in China. Feel free to visit my LinkedIn profile for more details about my experience.

I graduated in 2016 from École Normale Supérieure Paris-Saclay, completing a Master’s degree in Computer Vision and Machine Learning (MVA), and from ENSAE ParisTech, completing a M.Eng. in Data Science, both with first class honours.