I bridge the gap between complex systems and the human "decision-at-the-door."
As the research and design lead behind IAMBIC’s mobile platform, I pioneered the virtual fitting experience for the world’s first AI-tailored sneaker, recognized as a TIME Best Invention of 2023. I specialize in the 0→1 phase of product development: identifying the "why" behind consumer behavior, testing hypotheses, and validating product-market fit in high-stakes environments where no precedent exists.
Solving the "Confidence" Gap: My work at IAMBIC wasn't just about foot scanning; it was about solving the psychological hurdle of remote biometric tasks. Through 500+ observational research sessions, I mapped where technical uncertainty triggered task abandonment. I replaced that uncertainty with real-time feedback and guidance framework that translated mandatory precision into a simple, scripted mobile experience. 
Evidence-Based Strategy: I believe that research shouldn't just inform design; it should define the business model. At IAMBIC, I led the customer discovery and problem validation research for our leadership team's pivot from a B2B fit prediction tool to a D2C size-inclusive footwear brand, securing U.S. National Science Foundation (NSF) Phase II backing. 
The Strategic Foundation: My approach is rooted in the unique intersection of UCLA Psychological Research, Venture Design, and a decade of Cultural Journalism (VICE, Consequence). This background empowers me to build cross-functional frameworks that connect data, ops, and marketing. I translate raw human insights into strategic systems that solve the no-show and attrition crises in the tech and live event sectors.
Current Research
The No-Show Epidemic: To solve the $1.8B leak of attendance attrition, I model the 48-hour planning window to identify the point of forfeiture—the tipping point where cumulative cognitive load outweighs the emotional ROI of attendance.
The Experience Refugee: For a behavioral study of displaced loyalty, I investigate the migration patterns of fans when legacy cultural hubs disappear and why long-term super-fans are opting out of traditional festival models in favor of low-tax alternatives.
Behavioral Utility Modeling: Applying Expectancy-Value Theory to live operations to stabilize the probability of success, ensuring that the transition from ticket-holder to attendee is frictionless and high-margin.
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