I am a fifth-year PhD student in the Computer Science Department at Carnegie Mellon University (CMU), advised by Nina Balcan and Tuomas Sandholm. I am broadly interested in machine learning theory, artificial intelligence, algorithm design, and the interface between economics and computation. I am a recipient of the IBM PhD Fellowship, the Fellowship in Digital Health from CMU's Center for Machine Learning and Health, and the NSF Graduate Research Fellowship.

In 2015, I received a Bachelor of Arts degree from Columbia, where I majored in math. In 2018, I worked with Christian Borgs, Jennifer Chayes, and Adam Kalai as an intern at Microsoft Research New England. In 2019, I worked with Andrés Muñoz, Umar Syed, and Sergei Vassilvitskii as an intern at Google Research New York.

For more information, see my CV.