Quantitative UX Research Leader | Transforming High-Ambiguity Deep Tech into High-Growth Products | 0-to-1 & Enterprise Scale

I am a Quantitative UX Research Leader specializing in transforming high-ambiguity "Deep Tech" into intuitive, high-growth products. My expertise lies at the intersection of geospatial analysis, data science, and enterprise scale—bridging big data and human-centered insights to make sophisticated tools accessible for both technical and non-technical users.

Having operated across the tech ecosystem, I thrive in environments demanding extreme ownership and adaptability. I have scaled UXR practices from the ground up as a startup's first researcher, steered high-stakes 0-to-1 products through the ambiguity of early launch, and driven cross-functional alignment within large-matrixed organizations like Google and Apple. Whether building foundational testing protocols or optimizing data hubs for global user bases, I ensure complex technical innovation drives commercial velocity and measurable product growth.

Beyond the lab, I bring the same rigor to my personal pursuits as I do to research. Whether I’m navigating the lineup on a shortboard, boxing, or engaging with highly successful & ambitious guests on my tech podcast, I believe a sharp mind is best forged through constant challenge and friction. I apply that high-performance discipline to solving the world's most complex technical workflows.