Research
Published/Accepted
Disclosing Low Product Availability: An Online Platform's Strategy for Mitigating Stockout Risk, Published Online at Management Science (2025) (with B. Knight).
Featured in Harvard Business Review (digital article)
INFORMS Behavioral Operations Management Best Working Paper Competition 2022, Finalist
INFORMS Junior Faculty Interest Group (JFIG) 2024, 3rd Place
Consider or Choose? The Role and Power of Consideration Sets, Accepted at Management Science (2025) (with Y. Akchen).
INFORMS Service Science Best Cluster Paper Competition 2024, Finalist
The Impact of the Opportunity Zone Program on the Residential Real Estate Market. Published at Manufacturing & Service Operations Management (2024) 26 (6). (with R. Bekkerman, M. Cohen, X. Liu, and J. Maiden).
Accepted to the 2023 M&SOM Technology, Innovation, and Entrepreneurship SIG
INFORMS Service Science DEIJ Paper Competition 2023, Finalist
Media coverage: The Conversation, Propmodo, EjePrime (in Spanish)
Demand Estimation under Uncertain Consideration Sets, Published at Operations Research (2024) 72 (1) (with S. Jagabathula and G. Vulcano).
Job Market Paper
MSOM Student Paper Competition 2019, 2nd prize
INFORMS Service Science Best Student Paper Award 2019, Finalist
Personalized Retail Promotions through a DAG-based Representation of Customer Preferences, Published at Operations
Research (2022) 70 (2) (with S. Jagabathula and G. Vulcano).
Accepted to the 2018 M&SOM Service Management SIG
Managerial Articles
How Online Retailers Can Avoid Costly Out-of-Stock Issues (with D. Kim and B. Knight), Harvard Business Review, Digital Article, October 2024.
Why You Should Warn Customers When You’re Running Low on Stock (with B. Knight), Harvard Business Review, Digital Article, September 2022.
U.S. Opportunity Zones Use Tax Breaks for Developers to Help Poor Neighborhoods -- But Are They Choosing Wisely? (with R. Bekkerman, M. Cohen, and J. Maiden) Published in The Conversation, National Post, and Yahoo News, 2021.
Under Review/Working Papers
Customers' Multihoming Behavior in Ride-hailing: Empirical Evidence Using a Structural Model, Major Revision at Manufacturing & Service Operations Management (with S. Chitla, M. Cohen, and S. Jagabathula).
Accepted to the 2023 M&SOM Service Management SIG
INFORMS Behavioral Operations Management Best Working Paper Competition 2023, Finalist
AI-enabled Technology and Gig Workforce: The Role of Experience, Skill Level, and Task Complexity, Major Revision at Information Systems Research (with B. Knight and S. Netessine).
INFORMS Service Science Best Cluster Paper Competition 2023, Finalist
To appear as a working paper at ACM Conference on Economics & Computation (EC), 2024.
Assortment Optimization with Replacement Options for Retail Platforms with Stockout Risk, Major Revision at Operations Research (with H. Topaloglu and Y. Wang).
POMS College of Service Operations Management (CSOM) Best Student Paper Competition 2025, second place (student: Yuheng Wang)
Algorithm-enabled Decision Support and Worker Learning: Evidence from a Large-Scale Field Experiment, Major Revision at Manufacturing & Service Operations Management (with Y. Kim, B. Knight, and Y. Xu).
Accepted to the 2025 M&SOM Technology, Innovation, and Entrepreneurship SIG
Nudging Customers to Select High Stock Delivery Windows via Information Sharing, Working Paper (with D. Kim and B. Knight).
Appeared as a working paper at ACM Conference on Economics & Computation (EC), 2024.
Accepted to the 2025 M&SOM Service Management SIG
Product Availability Disclosure: Navigating Conflicting Interests on a Grocery Delivery Platform, Working Paper (with T. Dizdarer and X. Zhao).
Accepted to the 2025 M&SOM Supply Chain Management SIG
Choice Modeling, Assortment Optimization, and Estimation When Customers are Non-Rational: Multinomial Logit Model with Non-Parametric Dominance, Working Paper (with H. Topaloglu and Y. Wang).
Long-Term Policy Prediction with Causal Graphs: Insights from Healthy Grocery Shopping, Working Paper (with N. Kaynar).
Myopic Price Promotions in IPOs: Evidence from Ride-Hailing Platforms, working paper (with A. Borah and M. Cohen).