I am a second-year computer science PhD student at Cornell, where I am fortunate to be advised by Nikhil Garg and Jon Kleinberg. Previously, I completed my undergraduate degree in mathematics at Princeton, where I was lucky to work closely with Arvind Narayanan and Evita Nestoridi.
I am based at Cornell Tech in New York City, where I am also a doctoral fellow at the Digital Life Initiative (DLI). I am also a member of Cornell's AI, Policy, and Practice (AIPP) working group.
I study the use of machine learning and algorithmic decision-making in societal settings.
Monoculture in Matching Markets
Preprint
Reconciling the Accuracy-Diversity Trade-off in Recommendations
WWW 2024, Oral Presentation
REFORMS: Reporting Standards for Machine Learning Based Science
Science Advances (Forthcoming)
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers
NeurIPS 2021, Track on Datasets and Benchmarks, Oral Presentation
Covered in MIT Technology Review, Nature, VentureBeat. Summarized in this Twitter thread.
Mixing Times of One-Sided k-Transposition Shuffles
Under revision at Annals of Applied Probability
Deep Residual Networks Preserve Expected Length
Undergraduate thesis advised by Boris Hanin
Sigma Xi Book Award for outstanding undergraduate research in mathematics