Lennart Baardman

Currently, I am a fifth year PhD student at the Operations Research Center of the Massachusetts Institute of Technology. My research advisor is Professor Georgia Perakis. Before becoming a PhD student at MIT, I received a BSc in Econometrics and Operations Research from the University of Groningen and an MASt in Mathematics from the University of Cambridge. My bachelor's thesis was supervised by Professor Kees Jan Roodbergen.

My research interests are in the use analytical techniques such as mathematical modeling, optimization, statistics, and machine learning to solve practice- and data-driven problems in revenue management, pricing, supply chain management, and logistics. My current research mainly focuses on developing and testing novel models for promotional pricing and advertising challenges in the retail, manufacturing, and online industries. These research problems are motivated by the practice and data of our collaborators: Adobe, CMPC, Johnson & Johnson, Oracle.

Papers

Published

L. Baardman, M.C. Cohen, K. Panchamgam, G. Perakis, D. Segev, 2018, “Scheduling Promotion Vehicles to Boost Profits”, Management Science, published online April 2018.
  • First place for the Service Science Cluster Best Paper Award (2016).
L. Baardman, K.J. Roodbergen, H.J. Carlo, 2016, “Job Sequencing in a Miniload System”, in 14th IMHRC Proceedings, Karlsruhe, Germany, 2016.

Under Review

L. Baardman, I. Levin, G. Perakis, D. Singhvi, 2017, “Leveraging Comparables for New Product Sales Forecasting”, major revision in Operations Research.
  • First place in POMS Applied Research Challenge (2018).
  • First place in POMS College of Supply Chain Management Best Student Paper Award (2018) .
  • Honorable mention in MIT Operations Research Center Best Student Paper Competition (2018).
L. Baardman, M.C. Cohen, J. Kalas, K. Panchamgam, G. Perakis, 2017, “Data Analytics and Optimization to Improve Promotion Planning for Retailers”, major revision in Production and Operations Management.
L. Baardman, K.J. Roodbergen, H.J. Carlo, 2017, “A Special Case of the Multiple Traveling Salesman Problem in End-of-aisle Picking Systems”, major revision in Transportation Science.
L. Baardman, S. Borjian Boroujeni, T. Cohen-Hillel, K. Panchamgam, G. Perakis, 2018, “Detecting Customer Trends for Optimal Promotion Targeting”, submitted to Manufacturing & Service Operations Management.

In Progress

L. Baardman, E. Fata, A. Pani, G. Perakis, 2018, “Learning Optimal Online Advertising Portfolios with Periodic Budgets”, soon to be submitted to Management Science.
  • Finalist in George Nicholson Student Paper Competition (2018).
L. Baardman, K. Panchamgam, G. Perakis, 2018, “Pass-through Constrained Vendor Funds for Promotion Planning”, soon to be submitted to Manufacturing & Service Operations Management.
L. Baardman, T. Cohen-Hillel, G. Perakis, “Trade Funds from the Manufacturer’s Perspective: Joint Demand Forecasting and Dynamic Pricing”, work in progress.
L. Baardman, E. Fata, A. Pani, G. Perakis, “Dynamic Creative Content Optimization in Online Display Advertising”, work in progress.

Presentations

L. Baardman, M.C. Cohen, K. Panchamgam, G. Perakis, D. Segev, “Scheduling Promotion Vehicles to Boost Profits”, presented at ISMP 2015, INFORMS 2015, POMS 2016, RMP 2016, MSOM 2016, INFORMS 2016.
L. Baardman, K. Panchamgam, G. Perakis, “Pass-through Constrained Vendor Funds for Promotion Planning”, presented at INFORMS 2016, MSOM 2017, INFORMS 2017.
L. Baardman, I. Levin, G. Perakis, D. Singhvi, “Leveraging Comparables for New Product Sales Forecasting”, presented at MSOM 2017, INFORMS 2017, ISB-POMS Workshop 2017, RMP 2018, MSOM Supply Chain Management SIG 2018.
L. Baardman, S. Borjian Boroujeni, T. Cohen-Hillel, K. Panchamgam, G. Perakis, “Customer-Trends for Personalized Demand Estimation and Targeted Promotions”, presented at MSOM 2017, INFORMS 2017, RMP 2018, MSOM 2018, INFORMS 2018.
L. Baardman, E. Fata, A. Pani, G. Perakis, “Online Advertising with Periodic Budgets”, presented at MSOM 2018, INFORMS 2018.

Patents

ORA170518-US-NP (O-441) - “Computer System and Method to Predict Customer Behavior Based on Inter-Customer Influences and to Control Distribution of Electronics Messages”, filed in Summer 2017 (L. Baardman, S. Borjian Boroujeni, T. Cohen-Hillel, K. Panchamgam, G. Perakis)

Honors and Awards

  • 2018 - Finalist in George Nicholson Student Paper Competition
  • 2018 - MIT Sloan Excellence in Teaching Award - Outstanding Teaching Assistant
  • 2018 - First place in POMS Applied Research Challenge
  • 2018 - First place in POMS College of Supply Chain Management Best Student Paper Award
  • 2018 - Honorable mention in MIT Operations Research Center Best Student Paper Competition
  • 2016 - First place in INFORMS Service Science Cluster Best Paper Award
  • 2016 - Finalist in Facebook Fellowship
  • 2015 - Finalist in INFORMS Revenue Management and Pricing Practice Award
  • 2013 - Groningen University Fund-100 Prize
  • 2011-2013 - Member of the Honours College of the University of Groningen

Contact

  • Address

    MIT Operations Research Center
    77 Mass Ave, Bldg E40
    Cambridge, MA 02139-4307
    United States
  • Phone

    +1 617-417-7461
  • Email

    baardman at mit dot edu