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/Under Review/Working Papers 

Assortment Optimization with Replacement Options for Retail Platforms with Stockout Risk, Working Paper (with H. Topaloglu and Y. Wang).

The Impact of AI Technology on the Productivity of Gig Economy Workers, R&R at Management Science (with B. Knight and S. Netessine).

• INFORMS Service Science Best Cluster Paper Competition 2023, Finalist 

A Nonparametric Stochastic Set Model: Identification, Optimization, and Prediction, Major Revision at Management Science (with Y. Chen).

Disclosing Low Product Availability: An Online Retailer's Strategy for Mitigating Stockout Risk, Minor Revision at Management Science (with B. Knight).

• Featured in Harvard Business Review (digital article)

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

The Impact of the Opportunity Zone Program on the Residential Real Estate Market. Minor Revision at MSOM (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) 

Customers' Multihoming Behavior in Ride-hailing: Empirical Evidence Using a Structural Model, Major Revision at MSOM (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

Myopic Price Promotions in IPOs: Evidence from Ride-Hailing Platforms, working paper (with A. Borah and M. Cohen).

Demand Estimation under Uncertain Consideration Sets,  Published at Operations Research (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 (with S. Jagabathula and G. Vulcano).

• Accepted to the 2018 M&SOM Service Management SIG

Managerial Articles

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.

Selected Awards

• 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