I have a proven track record of driving product innovation through actionable insights, working with products at every stage — concept, early-stage, and mature. My practice pairs qualitative depth (interviews, concept testing, mental models, usability testing) with quantitative rigour (benchmarking, surveys, A/B testing, and Python-based analysis including t-tests, ANOVA, regression and correlation).
Before industry, I spent four years at Stanford's Department of Psychology building behavioural tasks, cleaning and analysing data in Python, MATLAB and JavaScript, and co-authoring work on self-regulation and reward learning. That foundation shapes how I work today: define the question precisely, triangulate methods, and present findings in a form each audience — designers, engineers, PMs, directors and VPs — can act on.
Most recently I have also used AI tools to accelerate quantitative and qualitative analysis, chart creation, and prototype testing.
Expertise
- Qualitative methods
- Quantitative analysis
- Usability & interviews
- Surveys
- Rapid iterative research
- Python
- Mental models
- AI tools for UX research
- Concept testing & benchmarking
- A/B testing
- Diary studies & JTBD
- MATLAB & JavaScript
Education
University of California, San Diego — B.S. Psychology, Cognitive Science minor (2015)
