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 algorithmic fairness in machine learning.
My research broadly focuses on how algorithmic systems purposefully or unintentionally
harm specific populations and how we can build guarantees around such disproportionate harms.
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.