I am a first-year computer science PhD student at Cornell. 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 particularly interested in the societal implications of machine learning and algorithmic decision-making.
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