Professor Mitrofanov holds a PhD in Operations Management from Stern School of Business at New York University. His research interests fall into the intersection of data-driven operations, machine learning, and decision analytics, with applications in car-sharing, ride-hailing, retail, among other industries. More broadly, he strives to develop methodologies by combining data analytics with mathematical modeling which could lead companies to make effective operational decisions.
“Personalized Retail Promotions through a DAG-based Representation of Customer Preferences." (with S. Jagabathula and G. Vulcano)
“Inferring Consideration Sets from Sales Transaction Data." (with S. Jagabathula and G. Vulcano)
“Lyft and Uber IPOs: Before and After.” (with M. Cohen)
“The Impact of the Opportunity Zone Program on the Residential Real Estate Market.” (with R. Bekkerman, M. Cohen, and J. Maiden)
“Customer Loyalty in Ride-Hailing: Empirical Evidence.” (with M. Cohen and S. Jagabathula)
Second Place, 2019 M&SOM Student Paper Competition
Finalist, 2019 INFORMS Service Science Best Student Paper Award