Summary
Léopold Crestel is a data scientist with 11 years of experience bridging deep learning research and applied machine learning for creative and industrial use cases. With a PhD focused on deep symbolic learning for musical orchestration and a stint as an assistant researcher on interactive music generation at Sony CSL, he specializes in ML for audio, music production tools, and generative models. He now helps companies operationalize ML at Datalyo while also building bespoke machine-learning-driven art installations and audio synthesis systems as an independent developer. Comfortable in C#/Unity, DSP prototyping and research code, he brings both rigorous academic foundations and hands-on engineering to productionize novel algorithms. An uncommon strength is his track record of translating cutting-edge music-ML research into tangible creative systems and industry value.
11 years of coding experience
3 years of employment as a software developer
MPSI, MP* (Mathématiques, Physiques et Informatiques), MPSI, MP* (Mathématiques, Physiques et Informatiques) at Lycée Faidherbe
Master 2 (M2), ATIAM (Acoustics, Signal processing and Computer Science applied to music), Master 2 (M2), ATIAM (Acoustics, Signal processing and Computer Science applied to music) at Université Pierre et Marie Curie
Doctorat, Deep learning for automatic music orchestration, Doctorat, Deep learning for automatic music orchestration at IRCAM
Diplôme d'ingénieur, Signal processing, Diplôme d'ingénieur, Signal processing at Telecom ParisTech
French, English, Spanish, Italian, Japanese