Guillaume Salha

Machine Learning Researcher

Machine Learning Researcher

Guillaume Salha

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gsalha [at] deezer [dot] com

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I am a Research Scientist at Deezer, a global music streaming platform, 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 Representation and Recommendation. In my recent publications, I mainly focused on Graph Representation Learning and notably on Graph Autoencoders.

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 (M.Sc.) in Computer Vision and Machine Learning (MVA), and from ENSAE Paris, completing a Master of Engineering (M.Eng.) in Data Science, both with first class honours.



See me also on Google Scholar and DBLP.