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Alexandre Belloni

Westgate Distinguished Professor of Decision Sciences
Fuqua School of Business
Box 90120, Durham, NC 27708-0120
W312 Fuqua School of Business, Durham, NC 27708

Overview


Alexandre Belloni is a Professor of Decision Sciences at the Fuqua School of Business at Duke University. He received his Ph.D. in Operations Research from the Massachusetts Institute of Technology (2006) and a M.Sc. in Mathematical Economics from IMPA (2002). He deferred the offer to join the faculty at Duke University to accept the IBM Herman Goldstein Postdoctoral Fellowship (2006-2007).

Professor Belloni’s research interests are on statistics and optimization and on their applications to Economics and Business. His current research focuses on developing and analyzing methods for model selection in Econometric problems, and for solving Mechanism Design problems. He became 2014-2016 F.M. Kirby Research Fellow, and received the 2007 Young Researchers Competition in Continuous Optimization Award and the second prize at the INFORMS 2006 George Nicholson Student Paper Award.

His research papers have appeared in journals such as Econometrica, Review of Economic Studies, Annals of Statistics, Marketing Science, Management Science and Operations Research. He has received a grant from the National Science Foundation and has held visiting appointments in other prestigious institutes. He has consulted with the electrical energy industry in Brazil. His recent teaching has been the an elective Daytime MBA on Data Analytics, the core Daytime MBA Statistics course and the Weekend MBA Statistics course.

Current Appointments & Affiliations


Westgate Distinguished Professor of Decision Sciences · 2022 - Present Fuqua School of Business
Professor of Business Administration · 2015 - Present Fuqua School of Business
Professor of Statistical Science · 2016 - Present Statistical Science, Trinity College of Arts & Sciences

In the News


Published March 25, 2024
Duke 100 Trailblazer: Alexandre Belloni

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Recent Publications


Optimal Auction Design with Deferred Inspection and Reward

Journal Article Operations Research · November 1, 2024 Consider a mechanism run by an auctioneer who can use both payment and inspection instruments to incentivize agents. The timeline of the events is as follows. Based on a prespecified allocation rule and the reported values of agents, the auctioneer allocat ... Full text Cite

Latent Agents in Networks: Estimation and Targeting

Journal Article Operations Research · March 1, 2024 We consider a platform that serves (observable) agents, who belong to a larger network that also includes additional agents who are not served by the platform. We refer to the latter group of agents as latent agents. Associated with each agent are the agen ... Full text Cite

HIGH-DIMENSIONAL LATENT PANEL QUANTILE REGRESSION WITH AN APPLICATION TO ASSET PRICING

Journal Article Annals of Statistics · February 1, 2023 We propose a generalization of the linear panel quantile regression model to accommodate both sparse and dense parts: sparse means that while the number of covariates available is large, potentially only a much smaller number of them have a nonzero impact ... Full text Cite
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Recent Grants


Applied Mechanism Design

ResearchCo-Principal Investigator · Awarded by National Science Foundation · 2009 - 2011

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Education, Training & Certifications


Massachusetts Institute of Technology · 2006 Ph.D.