I help companies turn advanced immersive audio technologies into clear, usable solutions that creative teams can adopt from day one. My work focuses on bridging the gap between technical innovation and real-world application through user testing, adoption strategy, practical training, and public engagement. Core Services 1. Immersion Lab – Real-World User TestingI evaluate immersive technologies with artists, sound designers, and technical professionals to identify friction points, workflow barriers, and opportunities for improvement. Deliverables include adoption insights, actionable feedback, and recommendations to refine interfaces, documentation, and user experience. 2. From Demo to Adoption – Strategy & Workflow DesignI design adoption strategies that translate complex tools into practical, intuitive workflows for creative teams. Deliverables include clear adoption plans, user-focused materials, and messaging that communicates value and usability. 3. Plug & Play Training – Fast, Practical OnboardingI create concise, hands-on training modules that enable immediate, confident use of immersive technologies. Deliverables include short training content, templates, guides, and live mentorship. 4. Public Immersion Lab – Audience-Facing ExperiencesI develop and facilitate public listening sessions, installations, and talks that position immersive technologies beyond the technical niche and generate cultural validation. Deliverables include experience design, curated content, and qualitative audience feedback. OutcomeI help companies move their technology out of the lab and into real creative practice—reducing friction, enabling adoption, and ensuring their innovations achieve tangible impact.
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I curate and prepare high-quality audio datasets—spatial and non-spatial—designed for AI, machine learning, generative models, and research. What I Offer Dataset Structuring: Organized, labeled, and training-ready audio collections. Generative Sound AI: Curated material specifically prepared for machine learning and generative audio systems. Spatial Audio Formats: Datasets in ambisonics, binaural, and object-based formats. Deliverables Organized Audio: Cleanly structured, sorted, and tagged files optimized for immediate use. ML-Ready Metadata: Standardized metadata (WAV, JSON, stems) suitable for machine learning workflows. This service ensures your audio datasets are accurate, consistent, and ready for high-performance AI development.
I offer hands-on workshops that teach artists and audio practitioners how to create spatial sound experiences. The training provides a technical and critical foundation for developing immersive works in installations, performances, and exhibition environments. What Participants Learn Core immersive sound formats: binaural, object-based audio, ambisonics, and surround. How each format works, when to use it, and its perceptual and technical implications. Full production workflow: capture, design, editing, multichannel mixing, and export for different systems. Session organization, spatial management, and practical criteria for applying spatial audio in real projects. How It’s AppliedThe content is explored through concrete cases such as spatial installations, immersive recordings, multichannel pieces, and live performance setups, enabling participants to integrate the tools into their own practice. Who It’s For Artists and musicians working with recordings, installations, or live performance. Sound designers and producers expanding into multichannel or binaural workflows. Educators, curators, and researchers exploring sound as a spatial medium. Workshop dates are announced through a newsletter, where participants can stay updated on upcoming editions.