Cofounder And Chief Technology Officer (CTO) at Reef Pulse
Reunion France
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Summary
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Rockstar
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Yann Bayle is a CTO and co‑founder with a decade of experience building AI-driven signal processing products, currently leading Reef Pulse to monitor and restore coral reefs using long‑term underwater bioacoustic datasets across three oceans. He holds a PhD in AI applied to sound from the University of Bordeaux and previously developed commercial audio software and research prototypes in C++ and Python for music and signal processing. Yann blends deep research expertise with hands‑on engineering—shipping R&D at Two Notes Audio Engineering and contributing tooling for deep‑learning music bibliographies on GitHub that produce reproducibility metrics and visualizations. Based on Reunion Island, he uniquely combines ecological knowledge, passive acoustic monitoring, and AI to turn years of acoustic recordings into actionable conservation insights and decision‑support tools.
10 years of coding experience
2 years of employment as a software developer
Doctorat en IA et Traitement du Signal, Computer Science, Doctorat en IA et Traitement du Signal, Computer Science at Université de Bordeaux
Baccalauréat Scientifique, Option Physique-Chimie, Mention Très Bien, Baccalauréat Scientifique, Option Physique-Chimie, Mention Très Bien at Lycée Levavasseur
Diplôme d'ingénieur, Telecommunications Engineering, Diplôme d'ingénieur, Telecommunications Engineering at Ecole nationale supérieure d'Electronique, Informatique et de Radiocommunications de Bordeaux
DUT, GEII, Classé 5ème sur 177 avec 15,6 de moyenne, DUT, GEII, Classé 5ème sur 177 avec 15,6 de moyenne at IUT Paul Sabatier - Toulouse, Auch, Castres
DUT (Diplôme Universitaire de Technologie), GEII (Génie Electrique et Informatique Industrielle), Classé 4ème sur 74 avec 15 de moyenne, DUT (Diplôme Universitaire de Technologie), GEII (Génie Electrique et Informatique Industrielle), Classé 4ème sur 74 avec 15 de moyenne at IUT de Montpellier-Sète
List of articles related to deep learning applied to music
Role in this project:
ML Engineer
Contributions:98 commits, 15 PRs, 154 pushes in 4 years 4 months
Contributions summary:Yann primarily contributed to enhancing a deep learning music repository by developing and refining a Python script, `dl4m.py`, to parse a bibliography (dl4m.bib) and generate insightful summaries and visualizations. They implemented features such as generating a human-readable table, displaying articles per year, and providing lists of authors, tasks, datasets, frameworks, and architectures. The user also integrated the display of reproducibility metrics and pie charts visualizing data, enhancing the repository's utility and informational content.
Contributions:27 commits, 31 pushes, 1 branch in 2 years
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