AI-Assisted Workflows
Exploring how artificial intelligence can function as a creative collaborator rather than a replacement, supporting compositional workflows, guiding mixing with content aware generated pre-sets, expanding possibilities, and accelerating iterative creative processes. Natalia's work here is always tethered to artistic intent: the composer remains the author.
Immersive Technologies & Spatial Audio
Experimentation in immersive sound, from Dolby Atmos and binaural design to multi-speaker spatial systems for live performance and installation. Natalia works to make the knowledge about spatial audio tools accessible to independent artists and smaller studios, bringing world-class sonic experiences beyond the domain of major labels and research labs.
Motion Capture as Compositional Interface
Investigating the body as a musical instrument, the use of motion capture technology can translate physical gesture and movement into compositional parameters, sound design triggers, and real-time performance data. This work bridges the physical and the digital in ways that unlock new expressive possibilities for performers and composers alike. It also supports artists with special accessible needs and allows for tailored workflows.
Automated Systems
The development of personalised automated environments enables self-managed artists to streamline their workflows. By leveraging artificial intelligence, artists can increase productivity, optimise their creative processes, and support long-term career growth.
Remote Production
Collaboration enriches art and creates fertile ground for creativity. The opportunity to work with others should not be limited by geographical boundaries; as a result, remote production has become increasingly popular in recent years. Today, it is possible to monitor and record audio between machines located in entirely different parts of the world, empowering creators to collaborate and produce art together, even when they are miles apart.
AI Ethics & Artist Advocacy
A clear-eyed engagement with the ethical dimensions of AI in music: questions of consent, attribution, fair compensation, and transparency. Natalia advocates for artist-centred development standards, and she aims to contribute to industry discussions on these topics, and brings this perspective to every collaboration involving generative or AI-powered tools.
