Hello!

Profile picture of Rachel Hong

I am a first-year Computer Science PhD student at the University of Washington, where I am incredibly fortunate to be working with Professors Jamie Morgenstern and Yoshi Kohno on topics related to algorithmic fairness in machine learning. I am broadly interested in how algorithmic systems may purposefully or unintentionally harm specific populations and how to build guarantees around such disproportionate harms. I'm really excited to be learning about technology policy, economics, and social theory alongside my research!

Before UW, I worked as an engineer at TeachFX, a startup that uses voice AI to surface meaningful insights about student participation and dialogue 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 to draw (not-so-accurate) caricatures.