Dmitry Mitrofanov
Office: Fulton Hall, Room 340
257 Beacon Street,
Chestnut Hill, MA 02467
Phone: (617) 552-6582
Email: dmitry.mitrofanov@bc.edu
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, R&R at Management Science (with B. Knight and S. Netessine).
INFORMS Service Science Best Cluster Paper Competition 2023, Finalist
A Nonparametric Stochastic Set Model: Identification, Optimization, and Prediction, Major Revision at Management Science (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
The Impact of the Opportunity Zone Program on the Residential Real Estate Market. R&R at MSOM (with R. Bekkerman, M. Cohen, X. Liu, and J. Maiden).
Accepted to the 2023 M&SOM Technology, Innovation, and Entrepreneurship SIG
INFORMS Service Science DEIJ Paper Competition 2023, Finalist
Media coverage: The Conversation, Propmodo, EjePrime (in Spanish)
Customers' Multihoming Behavior in Ride-hailing: Empirical Evidence Using a Structural Model, Major Revision at MSOM (with S. Chitla, M. Cohen, and S. Jagabathula).
Accepted to the 2023 M&SOM Service Management SIG
INFORMS Behavioral Operations Management Best Working Paper Competition 2023, Finalist
Myopic Price Promotions in IPOs: Evidence from Ride-Hailing Platforms, working paper (with A. Borah and M. Cohen).
Demand Estimation under Uncertain Consideration Sets, Published 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).
Accepted to the 2018 M&SOM Service Management SIG
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.
Teaching
Instructor
Operations Management (Undergraduate), NYU Stern, 2018.
Faculty Evaluation: 4.3/5
Teaching Assistant
Decision Models & Analytics (MBA), Instructor: Prof. Gustavo Vulcano, Winter 2018-19
Operations Management (MBA), Instructor: Prof. Victor Araman, Summer 2018
Operations Management (MBA), Instructor: Prof. Victor Araman, Summer 2017
Decision Under Risk (Global Degree Program), Instructor: Prof. Gustavo Vulcano, Fall 2016-17
Decision Models & Analytics (Undergraduate), Instructor: Prof. Ilan Lobel, Spring 2015-16
Decision Models & Analytics (MBA), Instructor: Prof. Ilan Lobel, Spring 2015-16
Operations Management (Undergraduate), Instructor: Prof. Michael Pinedo, Fall 2015-16
Selected Awards
INFORMS Service Science Best Cluster Paper Competition 2023, Finalist
INFORMS Behavioral Operations Management Best Working Paper Competition 2023, Finalist
INFORMS Service Science DEIJ Paper Competition 2023, Finalist
INFORMS Behavioral Operations Management Best Working Paper Competition 2022, Finalist
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