UX Researcher, Designer, and AI Systems Builder
I research and design systems where people and AI work together. My focus is creativity tools, accessibility, and the architecture of AI agents that actually collaborate instead of just responding.
The work below starts with completed case studies, then moves into active builds and longer-term directions.
I built a persistent AI collaboration system for memory, task routing, and daily work. Then the platform it depended on changed the rules, and I had to migrate it under a 48-hour deadline. The case study is about designing human-AI collaboration under real trust and platform constraints.
Read →Multiple UX evaluation methods applied to three Ableton products, grounded in deep music production experience and a decade leading the Pittsburgh Ableton User Group. The suite revealed a consistent pattern: Ableton designs for insiders, and that works until someone shows up for the first time.
Read →A usability research collection anchored by a 15-participant moderated mobile study of the Philz Coffee app. The work shows facilitation, test planning, task analysis, and how quickly a small interaction convention can turn into failed orders, workaround behavior, and users blaming themselves for the interface.
Read →Active work in development. These projects are real, public, and still changing.
An iPad FM synthesizer that treats device sensors, motion, environment, camera, spatial, and touch as modulation sources. This is the main active build.
A divination app that combines I Ching generation, Oblique Strategies, and AI synthesis to study how people respond when algorithmic output is framed as wisdom.
Planned work and concept direction. These are ideas I think are worth pursuing next.
A concept for electronic music learning built from the overlap of production experience, UX research, and AI system design.