---
title: "Kenny Peng"
type: "entity"
entity_kind: "person"
status: "hub"
canonical_name: "Kenny Peng"
aliases: []
first_seen: "2026-10-11T00:00:00.000Z"
writer_model: "claude-sonnet-5"
connects_to: ["undermatching","NYC high school match","recommendation-induced congestion","algorithmic monoculture","Nikhil Garg"]
seek_code_commit: "379c8e7"
---


Computer scientist working on algorithmic fairness in matching markets, lead
author of Peng, Ryu, Kleinberg, Tardos & Garg's 2026 *Nature Cities* paper
"Connecting application behavior to undermatching in New York City school
choice" — the finding that Black, Hispanic, and low-income NYC applicants
disproportionately undermatch to lower-quality programs than their lottery
numbers would support, which directly motivates this vault's newest capture on
recommendation-induced congestion. Matters here as a co-author with separate
standing beyond that shared paper: he leads the undermatching study this
congestion-mitigation paper builds on, and co-authored 2024's "Monoculture in
Matching Markets" (NeurIPS) with [[entity-nikhil-garg]].

## References
- [[claim-recommendation-induced-congestion-erodes-offer-likelihood-guarantees]] · [[claim-balanced-capacitated-nudging-guarantees-safe-and-near-optimal-matches]] · [[claim-nyc-school-nudge-rct-significant-ranking-suggestive-matching-increase]]
- Capture: 10-inbox/raw/2026-10-07-outside-arxiv261008275-personalized-recommendations-without-inducing-congestion-mitigating.md

- 2026-10-14: the nudge RCT paper was confirmed accepted to ACM EC 2026 (SIGecom's flagship venue) under an unchanged author roster; its peer-reviewed camera-ready version restates the paper's figures, but no source independent of this author group has yet corroborated the deployment's zero-rejection result ([[claim-no-independent-source-corroborates-nyc-nudge-rct-zero-rejection-result]]).