I am an Assistant Professor of Business Analytics at Carroll School of Management, Boston College. I received my PhD in Operations Management at NYU Stern School of Business. My research interests fall into the intersection of data-driven operations, machine learning, and decision analytics, with applications in car-sharing, ride-hailing, and retail industries.  More broadly, I strive to develop methodologies by combining data analytics with mathematical modeling which could lead companies to make effective operational decisions. 

Research

Published/Accepted

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

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

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) 

Disclosing Low Product Availability: An Online Platform's Strategy for Mitigating Stockout Risk, Accepted at Management Science (2024) (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

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 

Consider or Choose? The Role and Power of Consideration Sets, Minor Revision at Management Science (with Y. Akchen).

• INFORMS Service Science Best Cluster Paper Competition 2024, Finalist

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).

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).

Selected Awards

• INFORMS Service Science Best Cluster Paper Competition 2024, Finalist 

• INFORMS Junior Faculty Interest Group (JFIG) 2024, 3rd Place

• INFORMS Service Science Best Cluster Paper Competition 2023, Finalist 

• INFORMS Behavioral Operations Management Best Working Paper Competition 2023, Finalist

• INFORMS Service Science DEIJ Paper Competition 2023, Finalist

• INFORMS Behavioral Operations Management Best Working Paper Competition 2022, Finalist

• MSOM Student Paper Competition, 2nd prize, 2019

• INFORMS Service Science Best Student Paper Award, Finalist, 2019

• W. Edwards Deming Doctoral Fellowship, Stern School of Business, NY, 2018-19

• Doctoral Scholarship, Stern School of Business, NY, 2014-19