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

- I am currently a teaching assistant for CS2850: Networks. (Fall 2022)
- I helped organize a workshop titled The Reproducibility Crisis in MLâ€‘based Science. The workshop was summarized in WIRED. (June 2022)
- I was an instructor at Princeton AI4ALL, where I led a group of high school students in a project on fake news detection and associated ethical questions. (Summer 2021)
- I was a managing editor at The Daily Princetonian, where I also helped found the technology and interactive design teams. (2020-2022)