Hi!

I am a fifth-year Computer Science PhD Candidate at the University of Washington, where I am advised by Professors Tadayoshi Kohno and Jamie Morgenstern on topics relating to AI, auditing, and the law. My research focuses on how the construction of large-scale generative AI systems amplifies societal harms along dimensions of privacy, fairness, and transparency. My work involves audits of web-scraping practices and empirical AI evaluations, and I collaborate with legal scholars to tie technical results to existing data protection and AI regulation.

In Fall of 2026, I will be a visiting researcher at Georgetown University and am on the job market this year for roles in AI evaluation and tech policy spaces, so please reach out if you are in the DC area! Throughout my PhD, I have also worked as a student researcher on the Responsible AI research teams at Amazon and Meta FAIR, and I am grateful to be supported by the NSF Graduate Research Fellowship.

Before joining UW, I was a software engineer at TeachFX, a startup that uses voice AI to help teachers reflect on their practice. My undergraduate degree was in Computer Science at Harvard University, where I had the amazing opportunity to work on algorithmic fairness project with Professors Cynthia Dwork and Pragya Sur.