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Ilan Lobel

· Fauvelais Family Professor of Data-Driven Operations, Professor of Technology, Operations, and Statistics, Academic Director, Andre Koo Technology and Entrepreneurship MBA

New York University · Technology, Operations, and Statistics Department

Active 2007–2026

h-index21
Citations2.9k
Papers8224 last 5y
Funding$59k

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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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 by providing a wide range of computing resources and high-speed, scalable storage solutions. The page emphasizes the center's role in supporting research activities through these technological and data resources.

Research topics

  • Computer Science
  • Mathematics
  • Economics
  • Machine Learning
  • Business
  • Artificial Intelligence
  • Mathematical optimization
  • Operations research
  • Microeconomics
  • Marketing

Selected publications

  • Surge Pricing and Its Spatial Supply Response

    Management Science · 2020 · 161 citations

    Senior authorCorresponding

    We consider the pricing problem faced by a revenue-maximizing platform matching price-sensitive customers to flexible supply units within a geographic area. This can be interpreted as the problem faced in the short term by a ride-hailing platform. We propose a two-dimensional framework in which a platform selects prices for different locations and drivers respond by choosing where to relocate, in equilibrium, based on prices, travel costs, and driver congestion levels. The platform’s problem is…

  • Feature-Based Dynamic Pricing

    Management Science · 2020 · 125 citations

    We consider the problem faced by a firm that receives highly differentiated products in an online fashion. The firm needs to price these products to sell them to its customer base. Products are described by vectors of features and the market value of each product is linear in the values of the features. The firm does not initially know the values of the different features, but can learn the values of the features based on whether products were sold at the posted prices in the past. This model is…

  • Spatial Capacity Planning

    Operations Research · 2021 · 67 citations

    Senior authorCorresponding

    We study the relationship between capacity and performance for a service firm with spatial operations, in the sense that requests arrive with origin-destination pairs. An example of such a system is a ride-hailing platform in which each customer arrives in the system with the need to travel from an origin to a destination. We propose a parsimonious representation of a spatial multiserver system through a state-dependent queueing model that captures spatial frictions as well as spatial economies…

  • Minimum Earnings Regulation and the Stability of Marketplaces

    Manufacturing & Service Operations Management · 2022-09-26 · 26 citations

    article

    Problem definition: New York City and Seattle recently enacted minimum earnings regulations for ride-hailing providers that are based on their utilization rates. The regulations are intended to deliver minimum earnings while preserving the flexibility of the independent contractor model of work. Academic/practical relevance: This kind of regulation has the potential to impact marketplace stability, which we define as the ability of platforms to keep wages bounded while maintaining the current fl…

  • Auction Design for ROI-Constrained Buyers

    2021-04-19 · 24 citations

    articleOpen access

    We combine theory and empirics to (i) show that some buyers in online advertising markets are financially constrained and (ii) demonstrate how to design auctions that take into account such financial constraints. We use data from a field experiment where reserve prices were randomized on Google’s advertising exchange (AdX). We find that, contrary to the predictions of classical auction theory, a significant set of buyers lowers their bids when reserve prices go up. We show that this behavior can…

Recent grants

Frequent coauthors

Awards & honors

  • 2018 MSOM Young Scholar Prize
  • 2021 INFORMS TIMES Award
  • 2014 INFORMS Revenue Management and Pricing Section Prize
  • 2024 INFORMS Revenue Management and Pricing Section Prize
  • 2017 Poets & Quants Top 40 MBA Professors Under 40 list

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