Gabriel Vigliensoni is an assistant professor and interdisciplinary researcher with 15 years of experience at the intersection of sound art, music technology, human–computer interaction, and machine learning. He combines creative practice and rigorous research—holding a PhD from McGill—with a track record of leading teams and multi-year, funded projects exploring deep neural networks as collaborative tools for composition and performance. Gabriel has built production-grade audio systems and optical music recognition pipelines, led conference tracks and proceedings, and taught courses bridging new media and music, demonstrating both technical depth and pedagogical skill. His work uniquely blends hands-on sound design and studio practice with large-scale ML-driven musicology projects, reflecting a career that moves fluidly between experimental art and applied engineering. Based in Montreal, he continues to investigate AI affordances for sound-making while mentoring students and collaborating internationally.
15 years of coding experience
21 years of employment as a software developer
Bachelor of Arts - BA, Science of Sound, Bachelor of Arts - BA, Science of Sound at Universidad de Chile
Doctor of Philosophy - PhD, Music Technology, Doctor of Philosophy - PhD, Music Technology at McGill University
Contributions:2 PRs, 3 pushes, 1 branch in 2 years 4 months
music-encodingdecodinginitiativeencodingmusic
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Gabriel Vigliensoni - Assistant Professor at Concordia University