About

The page provides information about the New York University Stern Center for Research Computing (SCRC), which is dedicated to providing world-class computational facilities and services to researchers at the Stern School of Business. The center offers a variety of services including a moderately sized Slurm HPC cluster, Cloud Computing (Virtual Machines), data acquisition and storage, research software, and access to WRDS (Wharton Research Data System). The research software suite is designed to facilitate advanced computational research and data analysis, while the datasets are sourced from diverse disciplines through collaborations with data repositories, platforms, and academic institutions. The compute services and storage systems support faculty and researchers' projects with high-speed, robust, and scalable solutions. The page emphasizes the center's role in supporting computational research at NYU Stern but does not provide specific details about Professor Joshua Reed's individual research focus, background, or key contributions.

Research topics

• Computer Science
• Mathematics
• Mathematical optimization
• Combinatorics
• Statistics
• Mathematical analysis
• Microeconomics
• Economics
• Geometry
• Econometrics

Selected publications

• Regime-Dependent Approximations for the Single-Item Dynamic Pricing Problem

  Operations Research · 2026-02-26

  articleSenior author

  Optimizing Prices for Viral Demand and Scarcity Dynamic pricing models often assume that inventory and demand scale proportionally, but this “fluid” view breaks down when products go viral. In “Regime-Dependent Approximations for the Single-Item Dynamic Pricing Problem,” Tarek Abdallah and Josh Reed investigate market extremes, specifically the “large market regime,” where inventory is scarce relative to surging demand. Their analysis reveals critical pitfalls in common heuristic approaches. The authors demonstrate that intuitive “price high and wait” policies are ineffective and, remarkably, that fluid static policies are not even first-order optimal in this context. Instead, they establish that a dynamic run-out-rate policy is essential to achieve both first- and second-order asymptotic optimality. Leveraging Extreme Value Theory, this research provides a robust framework for managing severe supply-demand imbalances, ensuring that firms can effectively capture value in inventory-constrained environments.

  PublisherDOI

• Asymptotically Efficient Distributed Experimentation

  2025-07-02

  articleSenior author
  PublisherDOI

• Asymptotically Efficient Distributed Experimentation

  SSRN Electronic Journal · 2025-01-01

  preprintOpen accessSenior author
  PublisherDOI

• The Diminishing Value of Bundling Under Inventory Scarcity

  SSRN Electronic Journal · 2025-01-01

  preprintOpen accessSenior author
  PublisherDOI

• Dynamic Pricing in the Large Market Regime

  SSRN Electronic Journal · 2025-01-01

  preprintOpen accessSenior author
  PublisherDOI

• Reflected Brownian motion with drift in a wedge

  Queueing Systems · 2023 · 2 citations

  Senior authorCorresponding
  • Computer Science
  • Mathematics
  • Mathematical analysis
  PublisherDOI

• Erratum to “On many-server queues in heavy traffic”

  The Annals of Applied Probability · 2023-12-01

  erratumSenior author
  PublisherDOI

• Optimal cash management using impulse control

  Indagationes Mathematicae · 2023 · 1 citations

  Senior authorCorresponding
  • Computer Science
  • Mathematics
  • Mathematical optimization
  PublisherDOI

• Reflected Brownian Motion with Drift in a Wedge

  arXiv (Cornell University) · 2022-04-22

  preprintOpen accessSenior author

  We study reflecting Brownian motion with drift constrained to a wedge in the plane. Our first set of results provide necessary and sufficient conditions for existence and uniqueness of a solution to the corresponding submartingale problem with drift, and show that its solution possesses the Markov and Feller properties. Next, we study a version of the problem with absorption at the vertex of the wedge. In this case, we provide a condition for existence and uniqueness of a solution to the problem and some results on the probability of the vertex being reached.

  PublisherOA PDFDOI

• Optimal cash management using impulse control

  arXiv (Cornell University) · 2022-06-08

  preprintOpen accessSenior author

  We consider the impulse control of Levy processes under the infinite horizon, discounted cost criterion. Our motivating example is the cash management problem in which a controller is charged a fixed plus proportional cost for adding to or withdrawing from his/her reserve, plus an opportunity cost for keeping any cash on hand. Our main result is to provide a verification theorem for the optimality of control band policies in this scenario. We also analyze the transient and steady-state behavior of the controlled process under control band policies and explicitly solve for the optimal policy in the case in which the Levy process to be controlled is the sum of a Brownian motion with drift and a compound Poisson process with exponentially distributed jump sizes.

  PublisherOA PDFDOI

Frequent coauthors

• Bert Zwart

  16 shared

• Peter Lakner

  New York University

  11 shared

• Anatolii A. Puhalskii

  Institute for Information Transmission Problems

  9 shared

• Amy R. Ward

  University of Chicago

  8 shared

• Dongyuan Zhan

  University College London

  6 shared

• Florian Simatos

  École Nationale de l’Aviation Civile

  3 shared

• Marco Avellaneda

  3 shared

• Maria Frolkova

  University of Amsterdam

  3 shared