Rene Caldentey

About

René A. Caldentey is the Eli B. and Harriet B. Williams Professor of Operations Management at The University of Chicago Booth School of Business. His primary research interests focus on stochastic modeling with applications to revenue and retail management, queueing theory, and finance. Professor Caldentey has contributed extensively to the academic community through his publications in numerous prestigious journals, including Advances in Applied Probability, Econometrica, Management Science, Mathematics of Operations Research, M&SOM, Operations Research, and Queueing Systems. In addition to his research, he has served on the editorial boards of several leading journals such as Management Science, M&SOM, Naval Research Logistics, Operations Research, Production and Operations Management, and the Journal of Systems and Engineering.

Research topics

• Computer Science
• Mathematical optimization
• Mathematics
• Machine Learning
• Statistics
• Artificial Intelligence
• Computer network
• Operations research
• Business
• Economics

Selected publications

• On the Optimal Design of a Bipartite Matching Queueing System

  Operations Research · 2021 · 41 citations

  Designing Fair and Efficient Matching Service Systems

  DOI

• Robust Learning of Consumer Preferences

  Operations Research · 2021 · 9 citations

  When companies develop new products, there are often competing designs from which to choose to take to market. How to decide? Traditional methods, such as focus groups, do not scale to the modern marketplace in which tastes evolve rapidly. In “Robust Learning of Consumer Preferences,” Feng, Caldentey, and Ryan develop a data-driven approach to deciding which design to produce by displaying a sequence of subsets of possible designs to potential customers. Their framework finds solutions that are…

  DOI

• Designing Sparse Graphs for Stochastic Matching with an Application to Middle-Mile Transportation Management

  Management Science · 2024-03-19 · 7 citations

  article

  Given an input graph [Formula: see text], we consider the problem of designing a sparse subgraph [Formula: see text] with [Formula: see text] that supports a large matching after some nodes in V are randomly deleted. We study four families of sparse graph designs (namely, clusters, rings, chains, and Erdős–Rényi graphs) and show both theoretically and numerically that their performance is close to the optimal one achieved by a complete graph. Our interest in the stochastic sparse graph design pr…

  PublisherDOI

• Trust and Reciprocity in Firms’ Capacity Sharing

  Manufacturing & Service Operations Management · 2023-03-24 · 7 citations

  articleSenior author

  Problem definition: We study the use of nonmonetary incentives based on reciprocity to facilitate capacity sharing between two service providers that have limited and substitutable service capacity. Academic/practical relevance: We propose a parsimonious game theory framework, in which two firms dynamically choose whether to accept each other’s customers without the capability to perfectly monitor each other’s capacity utilization state. Methodology: We solve the continuous-time imperfect-monito…

  PublisherDOI

• Financial Hedging of Operational Risk Constraints: A General Framework

  Production and Operations Management · 2024-08-01 · 4 citations

  articleSenior author

  We consider the operation of a non-financial corporation and present a novel risk-management framework that supports the joint optimization of the firm’s operational and financial decisions. Specifically, we study the problem of maximizing the firm’s operating profits when these profits depend on movements in the financial markets, and where the decision maker—the firm’s manager—is risk averse. Critically, our framework (i) imposes risk aversion through a generic class of risk constraints, and (…

  PublisherDOI

Frequent coauthors

• Victor F. Araman

  American University of Beirut

  8 shared

• Martin B. Haugh

  7 shared

• Lawrence M. Wein

  Stanford University

  6 shared

• Avi Giloni

  6 shared

• Clifford M. Hurvich

  6 shared

• Gabriel R. Bitran

  Massachusetts Institute of Technology

  5 shared

• Varun Gupta

  Northwestern University

  5 shared

• Yifan Feng

  National University of Singapore

  4 shared

Education

• M.A., Civil Industrial Engineering

  University of Chile

• Ph.D., Operations Management

  Massachusetts Institute of Technology (MIT)

Awards & honors

• Distinguished Alumni Award

Similar researchers at University of Chicago

• John R. Birgeh-56
• Amy Wardh-29
• Ozan Candoganh-19