Selected work
Five case studies on how I've been thinking about AI, voice, and multimodal experiences, four from Lucid Motors and one from Toyota Research Institute. One further study is available on request.
Most of these projects are still in progress, or recently launched, which means each case study is calibrated to be specific about contribution while careful about what's not yet public. The case studies are ordered roughly by current relevance to the kind of work I'm most interested in next, not by date.
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Lucid Intelligence / AI Experience platform
Leading the research program, original strategic framings, and the business case behind the AI experience platform Lucid publicly announced at its 2026 Investor Day.
AI voice prototyping for Lucid Assistant
Designing and building the internal platform that lets designers test voice-first interactions with real LLM behavior, without engineering support.
Navigation strategy (Lucid Maps)
From ambiguous product direction to a globally validated AI-forward roadmap, anchored by a multi-method concept evaluation across more than 350 participants.
Gravity multimodal HMI
Pre-production and program-long research that influenced Gravity's final UI direction, steering wheel controller design, app interaction model, and HUD/ARHUD experiences, contributing to an iF Gold Award-winning interaction system and a patent expected to grant soon.
Autonomous driving research at Toyota Research Institute
A nearly two-year research program on autonomous driving experiences, from passenger trust in full autonomy to driver engagement in partial autonomy, that contributed to over $1M in project cost reduction and a 200%+ usability improvement.
In-cabin climate interaction research
Multi-phase usability research on next-generation in-cabin climate interaction. Detailed case study available on request.
Methods I've developed and named across this work are listed separately on the Methods page.