Summary
Elio Quinton is a VP of Artificial Intelligence at Universal Music Group with over a decade of experience at the intersection of ML research, audio signal processing and product engineering. He founded and led UMG’s Music & Audio Machine Learning Lab, shipping globally available APIs and production microservices—recommendation engines, playlist sequencers and large-scale audio analysis—while keeping a hands-on research role. His background spans PhD-level research in music information retrieval and postdoctoral work adapting MIR tools for ethnomusicological corpora, giving him uncommon depth in both theory and real-world audio systems. Based in London, he advises startups and academic boards (ISMIR, Queen Mary) and combines artistic practice as a trained musician with engineering leadership, enabling him to translate creative needs into scalable AI solutions.
9 years of coding experience
10 years of employment as a software developer
Master of Science (MSc) Physics and Nanoscience, Master of Science (MSc) Physics and Nanoscience at Grenoble INP - Phelma
Doctor of Philosophy (PhD) Machine Learning & Music/Audio signal processing, Doctor of Philosophy (PhD) Machine Learning & Music/Audio signal processing at Queen Mary University of London
Diploma in Commercial Music Performance Drums, Diploma in Commercial Music Performance Drums at Tech Music School, London
Master of Arts (MA) Art Science and Technology, Master of Arts (MA) Art Science and Technology at Grenoble-INP - ACROE-ICA
Composing and Arranging for jazz and contemporary styles Music, Composing and Arranging for jazz and contemporary styles Music at Goldsmiths, University of London
French, English