Summary
Gianluca Micchi is a Senior Machine Learning & Audio Scientist based in London with a decade of experience blending physics, audio signal processing, and ML to solve real-world music and audio problems. He holds a PhD in Physics and has moved from academic research on nanoscale systems to industry roles at TikTok, IRIS Audio, and Universal Music Group, focusing on music AI and audio feature extraction. Known for writing highly optimized, readable algorithms, he combines deep theoretical grounding with pragmatic engineering—building systems from composer classification and music generation to production-ready ML for music platforms. A trained pianist and former music teacher, he uniquely bridges musicality and technical rigor, often visualizing model outputs in musically meaningful ways like evolutionary trees of compositions. He thrives on collaborating with smart teams and enjoys finding elegant optimizations where others see complexity.
9 years of coding experience
5 years of employment as a software developer
Various Online certificates, Machine learning, Various Online certificates, Machine learning at Coursera
Istituto Musicale Pareggiato "L.Boccherini" di Lucca
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Université de Bordeaux
Master’s Degree, Condensed Matter Physics, 110 / 110, Master’s Degree, Condensed Matter Physics, 110 / 110 at Università di Pisa
Italian, English, French, Russian