I am an AI Researcher with over eight years in the field of user experience research. I specialize in evaluating and optimizing complex products, both hardware and software. I bring a balanced approach to research, combining quantitative rigor with rich qualitative insight to surface actionable opportunities and shape product strategy. I aim to make research visible and collaborative—inviting cross-functional partners into the process to uncover how the right questions can transform friction-filled experiences into intuitive, future-ready tools.
October 2021 - Present, Irvine, CA [Remote in Portland, OR]
Software company whose products are used for data science and analytics.
User Experience Reseacher Software company
Advanced Tech and Projects Division
|
2019-2021
M.S. Engineering Psychology |
|
|
2016-2017
B.A. Cognitive Psychology |
Since 2023, I’ve led end-to-end UX research for Alteryx Copilot. My work has spanned usability benchmarking using traditional and custom metrics, pricing and packaging research with enterprise buyers, and a retroactive analysis of commonly posted user questions to identify high-priority support topics and inform AI response design. I’ve supported the product through all phases, past, present, and future —identifying adoption barriers, optimizing usability, and continuously guiding strategy through targeted research at every turn.
DetailsI led a research effort focused on deeply understanding the evolving AI expectations of data scientists. Through in-depth interviews, co-design activities, and collaborative journey mapping, I synthesized cross-industry insights that surfaced unmet needs and high-friction moments. The findings directly shaped product and positioning strategy, identifying opportunities for more intelligent tooling, AI support, and better alignment with technical users’ real-world challenges.
The Soli chip is a miniature radar sensor developed by Google. It was first introduced to consumers in the Pixel 4 and Pixel 4 XL smartphones. Soli emits electromagnetic waves and analyzes how they bounce back off your hand. Using machine learning models, the chip interprets this motion data as specific gestures.Utilizing a delicate hardware prototype in real-world user tests, I conducted research to shape a novel interaction paradigm grounded in human behavior—demonstrating an augmented reality user experience that feels intuitive and magical.
DetailsProject Jacquard is a gesture-based textile platform developed by Google. Using touch-sensitive technology into fabric, it brings interactivity into everyday objects—like the ever-popular Levi’s jean jacket—without adding screens or buttons.Research efforts include diary studies with beta testers to evaluate real-world use of ambient, gesture-based interactions on clothing. Conducted foundational research (in-person focus groups along with 1:1 interviews with card sorting activity) with luxury consumers and retailers to guide the product’s positioning at the intersection of fashion and tech.
DetailsAs the AI champion for the UX research team, I lead efforts to integrate AI tools that boost efficiency and innovation. I created a custom peer review assistant—Research Review Buddy—to support researchers in planning and analysis. I’m continuously vetting AI-moderated research vendors, evaluating tools for GDPR and SOC 2 compliance, and exploring real-world use cases through hands-on demos to assess participant reaction to non-human moderators.