Kris Johnson Ferreira

Kris Ferreira is an assistant professor of business administration in the Technology and Operations Management (TOM) Unit and teaches the TOM course in the MBA required curriculum.

In her research, Professor Ferreira focuses on online markets and retail, seeking to build operations management models that inform practice, as well as to provide theoretical insights. In particular, she employs a combination of machine learning and optimization techniques to help companies use their data to make better tactical and strategic decisions. Her work with the online retailer Rue La La received the 2014 INFORMS Revenue Management and Pricing Section Practice Award and was named a finalist in the 2015 Innovative Applications in Analytics competition.

Professor Ferreira earned her PhD in operations research at the Massachusetts Institute of Technology and her BS in industrial and systems engineering at the Georgia Institute of Technology. Before entering graduate school, she was a supply chain consultant for Alvarez & Marsal and a project manager for UPS Supply Chain Solutions.

AREAS OF INTEREST

• analytics
• electronic commerce
• operations strategy

AWARDS & HONORS

• Winner of the 2021 MSOM Best Operations Management Paper in Operations Research from the Manufacturing & Service Operations Management Society (MSOM) with David Simchi-Levi and He Wang for "Online Network Revenue Management Using Thompson Sampling."
• Finalist in the 2021 Manufacturing & Service Operations Management Society (MSOM) Practice Based Research Competition with Emily Mower for "Demand Learning and Pricing for Varying Assortments."
• Finalist for the 2018 and 2019 Manufacturing & Service Operations Management (M&SOM) Best Paper Award with Bin Hong Alex Lee and David Simchi-Levi for "Analytics for an Online Retailer: Demand Forecasting and Price Optimization."
• Finalist for the 2019 Institute for Operations Research and the Management Sciences (INFORMS) Revenue Management and Pricing Section Practice Award with Matt Capizzi, Arthur Hong, and Emily Mower, for "Demand Learning and Dynamic Pricing for Varying Assortments: Algorithm Development and Implementation at Zenrez."
• Second Place Winner of the 2015 Innovative Applications in Analytics Award from the Institute for Operations Research and the Management Sciences (INFORMS) with Bin Hong Alex Lee, David Simchi-Levi, Murali Narayanaswamy, Philip Roizin, and Jonathan Waggoner for "Analytics for an Online Retailer: Demand Forecasting and Price Optimization."
• Finalist for the 2015 IBM Service Science Best Student Paper Award from the Institute for Operations Research and the Management Sciences (INFORMS) for "Online Network Revenue Management Using Thompson Sampling" (HBS Working Paper 16-031, September 2015) with He Wang, David Simchi-Levi.
• Winner of the 2014 Institute for Operations Research and the Management Sciences (INFORMS) Revenue Management and Pricing Section Practice Award with Murali Narayanaswamy, Philip Roizin, Jonathan Waggoner, Bin Hong Alex Lee, and David Simchi-Levi for "Analytics for an Online Retailer: Demand Forecasting and Price Optimization."
• Recipient of a 2013 Graduate Student Award for Excellence in Engineering Systems Teaching Massachusetts Institute of Technology (MIT).