Gabriel Brocal
Senior Research Scientist at Deezer
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolGabriel Brocal is a Senior Research Scientist based in Paris with 11 years of experience specializing in machine learning and signal processing for Sound and Music Computing. He holds a PhD from Sorbonne Université and has advanced industry and academic experience at Deezer, Spotify, CNRS and IRCAM, focusing on music similarity, source separation, recommendation systems and musical fingerprinting. Gabriel combines deep expertise in audio and image DSP with practical R&D skills to extract latent traits from complex signals and turn them into scalable learning systems. He has a strong track record of internships-to-senior roles across leading music-tech labs and publishes and shares code—evidence of a research-to-production mindset—via his GitHub and Google Scholar profiles. Colleagues value his adaptability across multimodal scenarios and his ability to move from principled analysis to deployable solutions. An analytical thinker with a passion for music information retrieval, he often bridges academic rigor and product-driven engineering in music recommendation and classification.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Sorbonne UniversitéBachelor's degree in sound and image engineering Sound and image, Bachelor's degree in sound and image engineering Sound and image at Universitat d'AlacantMaster's degree Sound and Music Computing Sound and Music, Master's degree Sound and Music Computing Sound and Music at Universitat Pompeu Fabra
Spanish, English, French
Github Skills (44)
music-generation10
python10
data-science10
machine-learning10
ml10
music-information-retrieval10
deep-learning10
tensorflow10
deep-neural-networks10
dali10
neural-network10
spectrogram9
mir9
audio9
frequency8
Programming languages (4)
Github contributions (5)
gabolsgabs/DALI
Mar 2019 - Jun 2020
DALI: a large Dataset of synchronised Audio, LyrIcs and vocal notes.
Contributions:2 releases, 22 commits, 49 pushes in 1 year 2 months
notesmusic-generationdatasetlyricsaudio
gabolsgabs/cunet
Nov 2019 - Jun 2020
Control mechanisms to the U-Net architecture for doing multiple source separation instruments
Contributions:41 commits, 2 PRs, 38 pushes in 7 months
source-separationspectrogramu-netmirseparation
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