I'm a UX researcher with experience leading end-to-end research for complex enterprise and fulfillment systems, including internal tools used across large-scale operational environments. At Amazon, I've partnered on products spanning logistics, staffing, safety, AI-driven workflows, and employee experience—translating ambiguity into clear, actionable insights that inform MVP requirements, platform integrations, and long-term product vision.
I specialize in mixed methods research, combining qualitative depth (interviews, usability testing, design sprints, RITE cycles) with quantitative signals (surveys, behavioral data, product metrics) to understand not just what users do, but why. I work closely with product, design, and engineering to define the right questions, synthesize findings across data sources, and deliver practical recommendations that drive adoption, improve workflows, and measurably impact business outcomes.
My background in psychology shapes how I approach research: with curiosity, empathy, and a strong focus on real human needs within complex systems. I care deeply about creating tools that genuinely support the people who rely on them every day—and about helping teams make confident, evidence-based decisions grounded in user insight.
Outside of work, you'll often find me out in nature, hiking and exploring with my camera. Looking through the viewfinder helps me slow down and see the world from new perspectives. I also love trying new foods and discovering flavors I've never experienced before, whether that's at a local spot or while traveling.