Guillaume
Salha-Galvan

Guillaume SALHA-GALVAN

Machine Learning Researcher

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gsalha [at] deezer [dot] com





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Bio

I am a Research Scientist at Deezer, a global music streaming service, 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, Graph Mining and Recommender Systems. In my recent publications, I mainly focused on improving Representation Learning on Graphs, with various applications to Music Information Retrieval and Music Recommendation.

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



News



Publications

See me also on Google Scholar and ORCID.org.

2021

2020

Note: I published under the name G. Salha until 2020.

2019

2018