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.

Research

Reconciling the accuracy-diversity trade-off in recommendations

Kenny Peng, Manish Raghavan, Emma Pierson, Jon Kleinberg, Nikhil Garg

Working paper

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

I am currently a teaching assistant for CS2850: Networks. (Fall 2022)
I helped organize a workshop titled The Reproducibility Crisis in ML‑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)