A proprietary FPGA DAC
A digital-to-analog converter taken from research to a shipping product. The research showed that a simpler algorithm could match far more complex implementations, and the converter now powers the Yggdrasil Singular.
Technology
My technical work spans applied research, software engineering, data visualization, and product development, with a focus on music and audio.
Projects
Matching brands and artists
The system behind Fanbased, which pairs brands with artists for campaigns. It combines audience data with qualitative signals such as an artist's vibe, and explains the reasoning behind every match.
AI for music creation
An early analysis of the gap between AI music tools and how creators actually work, with a staged path toward AI as a creative collaborator. Shortlisted for the Cornell Tech Runway program.
Background
- Education
- PhD, Media Arts & Technology — UC Santa Barbara.
MS, Computer Science — George Washington University.
BS, Computer Science — University of Belgrade. - Research
- Published as first author in top-tier venues, including the International Journal of Human-Computer Studies. Two papers, each cited over 100 times, continue to be referenced in human-computer interaction and music recommendation research years after publication.
- Applied work
- Over a decade at the intersection of research, product strategy, and system design, including the projects highlighted above.
I occasionally advise founders and teams in music and creative technology on feasibility and technical research, to help turn their ideas into products.
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