I am a UX researcher with a background in psychology and human factors, specializing in contact center and enterprise software. My recent work centers on AI. I began in health systems research, managing IRB submissions, building codebooks, and co-authoring over 12 publications, before moving to usability testing for voice and mobile products at a research firm, with clients including Google and Amazon. Most recently, I led product research for enterprise software, focusing on AI-assisted tools for large contact center teams. I use mixed methods, including interviews, concept testing, surveys, and statistical analysis, to uncover user needs.

My practice is grounded in human factors. I focus on how people truly interact with systems, rather than relying on assumptions. My projects have included investigating what makes AI approval meaningful to agents and supervisors, how an AI copilot should be laid out during live calls, and what a platform migration really costs the people doing it. In every study, I clearly state what my evidence supports and its limitations.