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


Computer scientist at Cornell Tech who runs the "Garg Lab," working on recommender
systems and algorithmic decision-making inside real, capacity-constrained matching
markets rather than in the abstract. Matters to this vault as the recurring
corresponding-author anchor of a small cluster of connected papers it is now
tracking: this capture's 2026 deployment paper on recommendation-induced congestion
in the NYC high school match, the directly motivating 2026 *Nature Cities*
undermatching study, and 2024's "Monoculture in Matching Markets" (NeurIPS) — three
distinct venues, the same underlying research program on what happens when
algorithms sit on top of scarce, shared allocations.

## 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]]).