My name is Oriol Colomé i Font, and I am a Music Tech Generalist with over a decade of experience across the music industry and its wiggly-air-multimodal-cognitive-phenomenon we call MUSIC.
Currently, I'm leading innovation as Growth Lead & Product Owner at My Sheet Music Transcriptions, where I drive R&D and product development roadmaps, leveraging open-source technology and the right talent to position the company at the forefront of industry advancements.
I bridge the gap between artistic vision and technical implementation. My expertise spans:
- Product Development & Strategy: Leading cross-functional teams and driving business growth through innovative music-tech solutions
- Music Information Retrieval (MIR): Deep learning, audio signal processing, and computational music analysis
- Technical Leadership: Python, PyTorch, Google Cloud Platform, and full-stack development collaboration
- Music Industry Expertise: From performance and composition to music publishing and artist relations
I've worked with full-stack developers and musicologists alike, built cross-functional teams, and driven business growth by bridging creative, technical, and strategic domains. My experience includes:
- My Sheet Music Transcriptions (2022-Present): Growth Lead & Product Owner, Key Account Manager & Tech Lead
- Epidemic Sound (2023): Master's Thesis Student in Music Information Research, researching deep music embeddings
- Music Technology Group (MTG-UPF): Member of the Scientific Committee for the UPF-BMAT Chair in AI and Music
- Freelance Musician (2014-Present): Performing, composing, arranging, and teaching across Europe
- MSc in Sound and Music Computing - Universitat Pompeu Fabra (2021-2023)
- MA in Music Theory and Composition - ESMUC (2019-2020)
- BA in Music Performance - ESEM Taller de Músics (2014-2018)
My research focuses on high-level semantic abstractions closely aligned with cognitive processes related to music language and theory. The key question that drives my curiosity is: how can we flexibly and dynamically connect the high-resolution yet low-level representation of an electric signal through symbolic representations, systematic musicology, natural language, discrete representations, semantics, and cultural contexts—all within the framework of Western musical traditions?