Hello World! :)

I'm a third-year computer science PhD candidate at Cornell Tech, where I'm very lucky to work with Profs. Nikhil Garg and Emma Pierson. My research broadly focuses on using machine learning and algorithmic tools to address societal issues. In particular, I’m interested in mitigating disparities and improving human preference discovery and decision-making, often in applied settings such as education and healthcare. Through my PhD I've been supported by an NSF Graduate Research Fellowship, PiTech Impact Fellowship, Digital Life Initiative Fellowship, and the Sloan Foundation.

In 2023, I graduated from Carnegie Mellon University with a B.S. in Computer Science and a concentration in Human-Computer Interaction. I was fortunate to work with Profs. Justine Sherry and Weina Wang on establishing worst-case bounds for adversarial attacks against networked systems, based on the packet scheduling algorithm and job size estimation heuristics used. I also spent a few semesters exploring other questions: characterizing how people make sense of bias in machine learning models and analyzing linguistic patterns in social media manipulation.