I studied cognitive science because I wanted to understand how people actually think. How do we make decisions? How do we interact with technology? That curiosity has shaped everything I do professionally, from competitive intelligence and market research to AI evaluation and product strategy.

I learn by doing. If there's a research problem, I'll figure out a system for it. If there's too much information, I'll find a way to make it useful. I've designed automated workflows to track entire markets and shaped product positioning and GTM strategy alongside engineering and leadership teams. I've also trained and evaluated AI models, contributed to human-AI collaboration research, and built systems that make complex technical information more accessible and actionable.

My cognitive science background gives me the ability to move between disciplines and connect ideas that don't always sit in the same room; research and strategy, human behavior and technical systems, data and narrative. A lot of my work comes down to taking something complex and making it clear for the people who need it.

I care about how AI should be built, not just how it can be. I'm drawn to mission-driven work in AI for good, responsible technology, sustainability, and social impact, with teams that take ethical responsibility seriously. I strive to do work that matters, with people who care about getting it right.