Mahsa Mardikoraem
Lecturer in Supply Chain, Operations, and Technology
Area of Expertise:
Econometrics, Decision Analysis, Management Science, Statistics/Econometrics, Inventory Control, Production Planning, and Scheduling, Revenue Management, Supply Chain Management, Supply Chain, Operations, and Technology
Research Interests:
Retail operations, digital supply chain, computational advertising, sustainability, prescriptive analysis, Bayesian econometrics, data-driven optimization, information theory, machine learning
Selected Publications:
- "Maximum entropy distribution with quantile information", European Journal of Operational Research, with A. Bajgiran, E. Soofi, 2020
Awards/Honors:
- NSF/QPFC award, American Statistical Association-Quality and Productivity Conference, 2017
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Mahsa Mardikoraem broadly is interested in developing models to incorporate available information into the decision-making process. In her research, she uses Bayesian econometrics, statistics, optimization models, and information theory. Applications of her research include retail operations and efficiency analysis. Mahsa was a researcher at the Statistical and Applied Mathematical Sciences Institute (SAMSI). Her industry experiences include developing and presenting data analytic models for revenue management for two Midwest companies.
Email: mahsa@wustl.edu
PhD 2021, University of Wisconsin - Milwaukee
M.Sc. 2016, University of Wisconsin - Milwaukee
B.Sc. 2013, Sharif University of Technology
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