I research how AI systems earn trust—and what happens when they don't.

As an M.S. Computer Science candidate at Georgia Tech, my work sits at the intersection of AI safety, public policy, and human-centered systems. I've defined security guardrails and privacy standards for AI adoption across 1,500+ NYC public schools through Paragon, co-authored research on AI-assisted educational robotics presented at ACM/IEEE HRI, and am currently working with the City of Charleston to model sensor network viability for predicting train crossing delays.

I also work as a Quantitative Analyst at Bank of America, applying machine learning to financial risk—but my deeper interest lives in the research lab, asking harder questions about alignment, safety, and the systems we build for people who never asked for them.