I am a Quantitative UX Research Leader specializing in transforming complex, high-ambiguity Deep Tech and AI into intuitive, high-impact products. Operating at the intersection of advanced geospatial analysis, data science, and enterprise scale, I bridge big data and human-centered insights. My mission is to make sophisticated, technical tools accessible to the innovators solving our most critical planetary and human challenges across climate tech, agriculture, and healthcare.

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 early-stage ambiguity, and driven cross-functional alignment within large-matrixed organizations like Google and Apple. I excel at translating dense, developer-facing technical workflows into strategic product directions that scale.

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 interviewing industry leaders on my wtech podcast, CTRL + ALT + HER, I believe a sharp mind is best forged through constant challenge and friction. I apply that high-performance discipline to making raw, complex science usable and impactful for the world.