Kenny Peng

Kenny Peng

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

Kenny Peng, Arunesh Mathur, Arvind Narayanan

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

Evita Nestoridi and Kenny Peng

Under revision at Annals of Applied Probability

Deep Residual Networks Preserve Expected Length

Kenny Peng

Undergraduate thesis advised by Boris Hanin

Sigma Xi Book Award for outstanding undergraduate research in mathematics

Miscellaneous Work / Teaching / Outreach