Dmitry Mitrofanov

Biography

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.

EDUCATION

• B.S., Moscow Institute of Physics and Technology
• M.S., Moscow Institute of Physics and Technology
• M.Phil., Leonard N. Stern School of Business, NYU
• Ph.D., Leonard N. Stern School of Business, NYU

RESEARCH INTERESTS

• Data-driven modeling; retail operations; online platforms; sharing economy; revenue management; machine learning

RESEARCH

• “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)

APPOINTMENTS, AWARDS, AND HONORS

• Second Place, 2019 M&SOM Student Paper Competition
• Finalist, 2019 INFORMS Service Science Best Student Paper Award