I am a Ph.D. student in Computer Science at Cornell University, where I am a member of the Relax ML Lab. I am broadly interested in building accountable, robust distributed machine learning systems with theoretical guarantees. This work lives at the intersection of machine learning and distributed computing. I am very fortunate to be advised by Chris De Sa. You can find my CV here.

Prior to attending Cornell, I worked for several years in industry at companies both big and small. I did my undergrad at Columbia University, where I studied Computer Science and Archaeology. I care very deeply about the impact of my work, specifically its legal and social implications. I am a member of Cornell's initiative on Artificial Intelligence, Policy, and Practice and am engaged in a variety of outreach and service programs in Computer Science mentorship and education.