Summary
Christos Plachouras is a researcher-engineer blending eight years of experience in machine learning, signal processing, and scalable audio systems with a deep musical background. Currently a research intern at Earth Species Project and a PhD student in AI and Music, he has led R&D for massive-scale audio identification and personalized audio production at Utopia Music and AudioStack. His work spans academic projects at NYU and startups—co-founding MuSeeing to commercialize interactive listening—and focuses on computational methods for music understanding, similarity, and structure analysis across diverse traditions. Based in London, he pairs rigorous research with product-minded engineering, often tackling real-world, at-scale audio problems that bridge ethnomusicology and industrial monitoring. An accomplished musician and practitioner of composition and spatialization studies, he brings a rare combination of artistic sensitivity and production-grade AI expertise.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Artifical Intelligence and Music, Doctor of Philosophy - PhD Artifical Intelligence and Music at Queen Mary University of London
BSc in Computer Science Double Major in 'Computer Science' and 'Music' Minor in 'Sound and Music Computing', BSc in Computer Science Double Major in 'Computer Science' and 'Music' Minor in 'Sound and Music Computing' at New York University Abu Dhabi
Semester-long composition and orchestration course with Michel Merlet, Semester-long composition and orchestration course with Michel Merlet at École Normale de Musique de Paris - Alfred Cortot
Master's degree Sound and Music Computing - Department of Information and Communications Technologies, Master's degree Sound and Music Computing - Department of Information and Communications Technologies at Universitat Pompeu Fabra
Semester-long synthesis spatialization and algorithmic composition course, Semester-long synthesis spatialization and algorithmic composition course at IRCAM
English, Greek, French