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. In my work, I have used tools from data-driven optimization, choice modeling, machine learning, econometrics, and Bayesian inference. Overall, my research can be divided into two main topics: data-driven problems with choice models and operations in ride-hailing.

Research

Accepted and under Review

Personalized Retail Promotions through a DAG-based Representation of Customer Preferences, Accepted at Operations Research (with S. Jagabathula and G. Vulcano).

Inferring Consideration Sets from Sales Transaction Data, R&R at Management Science 2019 (with S. Jagabathula and G. Vulcano).

• Job Market Paper

• MSOM Student Paper Competition 2019, 2nd prize

• INFORMS Service Science Best Student Paper Award, Finalist

Lyft and Uber IPOs: Before and After, Major Revision at Information Systems Research (with M. Cohen).

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

Working Paper

Customer Loyalty in Ride-Hailing: Empirical Evidence, working paper (with M. Cohen and S. Jagabathula).

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