Guillaume
Salha-Galvan

Guillaume SALHA-GALVAN

Machine Learning Researcher

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gsalhagalvan [at] gmail [dot] com





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Bio

I am a Research Scientist at Deezer, a French music streaming service operating in 180 countries. Based in Paris, I am a member of the Research team where, since 2018, I have been conducting fundamental and applied research on deep learning, graph mining, music information retrieval, and music recommendation. Since 2023, I have also been coordinating the scientific projects carried out with Deezer engineers responsible for deploying music recommender systems on the service.

From 2018 to 2022, I simultaneously completed a Ph.D. at École Polytechnique, under the supervision of Romain Hennequin and Michalis Vazirgiannis. My doctoral thesis and scientific publications from this period primarily focused on representation learning with graph neural networks, and various applications to music recommendation.

Prior to my Ph.D., I worked as a Data Scientist at Deezer for nearly two years. Closely collaborating with product, tech, and design teams, I conducted product-oriented projects to improve UX and conversion on the service. Even before, I also handled other exciting challenges in Canada and 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. I am always looking for professionals with common interests to learn and share experiences, so feel free to reach out!



News



Publications

See me also on Google Scholar and ORCID.org.

2024

Note: publications from 2023 and 2024 reflect my Research Coordinator role at Deezer, where I was responsible for supervising projects. I am often listed as the second or last author in these articles.

2023

2022

2021

2020

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

2019

2018