Faculty Directory

Dmitry Mitrofanov

Assistant Professor

Photo of Dmitry Mitrofanov

Dmitry Mitrofanov

Contact

Telephone: 617-552-6582

Email: dmitry.mitrofanov@bc.edu

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

Courses

Operations Management

Research Interests

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

Expertise

  • Consumer Behavior and Pricing
Personal Website Curriculum Vitae

Department

Business Analytics

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.

Selected Publications

“Personalized Retail Promotions through a DAG-based Representation of Customer Preferences." (With S. Jagabathula and G. Vulcano.) Operations Research, 70 (2), 641- 1291. March-April, 2022. 

"Demand Estimation under Uncertain Consideration Sets." (With S. Jagabathula and G. Vulcano.) Operations Research. 2023 

"Why You Should Warn Customers When You’re Running Low on Stock.” (With B. Knight.) Harvard Business Review. 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.) The Conversation, National Post, and Yahoo News. 2021.

Appointments, Awards, and Honors

  • Finalist, 2023 INFORMS Service Science Best DEIJ Paper Competition
  • Finalist, 2023 INFORMS Behavioral Operations Management Best Working Paper Competition
  • Finalist, 2023 INFORMS Service Science Best Cluster Paper Competition
  • Finalist, 2022 INFORMS Behavioral Operations Management Best Working Paper Competition
  • Second Place, 2019 M&SOM Student Paper Competition
  • Finalist, 2019 INFORMS Service Science Best Student Paper Award
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