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 

The Impact of AI Technology on the Productivity of Gig Economy Workers, working paper (with B. Knight and S. Netessine).

A Nonparametric Stochastic Set Model: Identification, Optimization, and Prediction, working paper (with Y. Chen).

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

• Featured in Harvard Business Review (digital article)

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

Demand Estimation under Uncertain Consideration Sets,  Minor Revision 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).

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

The Impact of the Opportunity Zone Program on the Residential Real Estate Market. submitted (with R. Bekkerman, M. Cohen, X. Liu, and J. Maiden).  

Media coverage: The Conversation, Propmodo, EjePrime (in Spanish) 

Customers' Multi-homing in Ride-Hailing: Evidence from a Structural model, working paper (with S. Chitla, M. Cohen, and S. Jagabathula).    

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

• 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