Dr. Gabriel Vigliensoni
Gabriel Vigliensoni is an electronic music artist, performer, and researcher whose work currently explores the creative affordances of the machine learning paradigm in the context of sound- and music-making. His practice merges formal musical training with extensive studies and experience in sound recording, music production, music information retrieval, human-computer interaction, and machine learning to explore and develop novel approaches to music composition and performance.
Vigliensoni views sound and music as shared experiences that are completed through audience interaction. Over his extensive career, he has experimented with techno and breakbeat, merged krautrock with electronica, explored vocal-driven songs outside traditional pop formats, and utilized procedural composition techniques to challenge the liveness and immediacy of digital music production.
Sessions in which Dr. Gabriel Vigliensoni participates
Tuesday 24 February, 2026
As AI systems increasingly promise speed, scale, and frictionless creation, artists and researchers are left to ask whether “faster” is always better—and what is lost when our tools minimize effort to the point of erasing agency. This talk reframes AI not as a shortcut but as a site of embodied practice, where effort, gesture, and situated knowledge become sources of meaning. Building on recent work on small-data, interactive machine learning for music-making and a broader agenda that reposit...