About

I am a final year PhD student in Computer Science at Cornell University, expecting to graduate in Spring/Summer 2023. I am advised by Joe Halpern. I completed my undergraduate degree at University of Maryland, College Park.

I'm on the job market! I'm looking to work with great people on interesting and impactful technology. If you have a position that you think might be a good fit, please reach out!

In addition to my position at Cornell, I am a student researcher at the Center for Human-Compatible AI of UC Berkeley and a collaborator of the Berkeley Existential Risk Initiative. I also founded and co-organized Cornell's first AI in Society Workshop .

Research

My research in graduate school has focused on the theoretical foundations of cooperative AI. I try to develop formalisms that will help us understand how to develop AI systems that can cooperate effectively with other agents, whether human or artificial. My work often draws on ideas from causal reasoning and modal logics.

Before starting graduate school, I spent a summer developing formal models of cancer metabolism for the neuro-oncology branch of the NIH. Before that, as an undergraduate, I worked with Philip Resnik and Hal Daumé III on triage and forecasting of mental health crises from social media posts, an area in which I still maintain active interests.

Publications

Teaching

Coming from a family of many educators, teaching is of utmost importance to me. I have served as a teaching assistant for a number of courses, with responsibilities including teaching a twice-weekly recitation section, holding office hours, and grading. The specific courses for which I have TAed are:

I have also completed coursework in both education and educational psychology, and served on Cornell's CS department's Fall 2020 Teaching Restart Committee (for effectively returning to classroom teaching mid-pandemic) and TA Training Committee.