Senior Mixed-Methods UX Researcher at Google. I research across ecosystems of software and hardware, and have led products from 0→1, including a 13M+ user launch of the Google Health app, FDA regulated software development at Samsung, and ML healthcare solutions at Verily.
Selected UXR projects across agentic AI, health, software, hardware, and regulated industries.
End-to-end UX research spanning rebranding, AI Health Coach, contextual personalization, agentic memory, information architecture, conversational quality evaluation, and a tiered launch to millions.
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Spearheaded formative human factors research for SaMD, authoring the Human Factors Validation Protocol, and integrating UX risk mitigation for clinical populations, while cutting time-to-market by 2 months with Agile frameworks.
Read case studyCross functional UXR, unblocking Director-level support for the Fitbit + Pixel rebrand with statistical validation across mobile and smartwatch for Material Design adoption.
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Led all research for a novel computer vision AI application incubated inside Google Research, building UXR infrastructure from scratch, leading foundational and usability research, a 700-person Fitbit cohort, achieving a 40% improvement in AI model accuracy.
Read case study3 foundational UXR studies and 50+ user interviews for a Verily + Highmark Health + Google Cloud joint venture — identifying key clinical intervention windows, multi-user flows, and shaping ML data architecture for the Living Health model.
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A deep dive into the statistical foundations of the "5 users" rule — where it comes from, when it holds, and when it doesn't. Written for practitioners who want to make defensible sampling decisions rather than just cite Nielsen.
Read the articleI treat AI tools as research infrastructure — not shortcuts.
Research across ecosystems — mobile, web, wearable, and the AI layers connecting them.
Two decades working in health and wellness. 12 years at Google. A background in psychology, behavior change, ergonomics, and product development, and a career-long mission to improve the human experience through research that actually drives product direction.
My work lives at genuinely hard intersections: novel AI products with no established mental models, FDA-regulated medical devices where a missed insight has critical implications, health data visualizations where design choices affect whether someone understands their own body. I've developed a specific edge in researching across hardware-software ecosystems, understanding not just single-product UX but the handoffs and mental models users maintain across mobile, web, and wearable simultaneously (with contextual adaptation).
M.S. in User-Centered Design at Brandeis University (Research & Analytics track, expected 2026).
Outside of work: tea service, woodworking, dog training, and meditation.