Hi!

I am a third-year Computer Science PhD student at the University of Washington, where I am incredibly fortunate to be working with Professors Jamie Morgenstern and Tadayoshi Kohno on topics related to fairness in machine learning. My research broadly focuses on how machine learning systems purposefully or unintentionally harm specific populations. I've been recently working on auditing data collection practices and demonstrating how various cleaning or sampling approaches can contribute to discriminatory behavior in downstream models. I am grateful to be supported by the NSF Graduate Research Fellowship.

Before joining UW, I worked as an 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 a fairness-related project with Professors Cynthia Dwork and Pragya Sur.

Outside of research, I am passionate about teaching, diversity advocacy initiatives, and the history of technology. In my free time, I enjoy playing pick-up soccer, indulging in detective comedies of any medium, and attempting chess puzzles.