As a researcher at Ircam Centre Pompidou in Paris (ISMM STMS lab), Jérôme Nika focuses on the design of interactions with generative sound processes. His research aims to empower artists through highly customizable tools that adapt to individual creative practices. It is grounded in a practice-oriented design approach, in which users actively shape both the tools and their artistic outcomes, enabling deeply personalized music creation through machine teaching. Conducted in close collaboration with expert musicians, this work spans from conceptual modeling to the development and deployment of large-scale artistic projects, following an action research methodology. Since 2026, he has been coordinating the ANR project OpenTuning: Creative Individuation through the Interaction Design of Generative Musical Systems.

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Jérôme Nika’s PhD work Guiding Human-Computer music improvisation (Young Researcher Prize in Science and Music, 2015; Young Researcher Prize awarded by the French Association of Computer Music, 2016) focused on the introduction of authoring, composition, and control in human-computer music co-improvisation.

Then, he developed the Dicy2 for Max and Dicy2 for Ableton Live generative musical agents combined machine learning models and generative processes with reactive listening modules. This library offers a collection of “agents/instruments” embedding a continuum of strategies ranging from pure autonomy to meta-composition thanks to an abstract “scenario” structure.