Rim Hariss

Rim Hariss is an Assistant Professor in Operations Management at McGill University's Desautels Faculty of Management. Her research focuses on Big Data & Machine Learning, Data Analytics, Dynamic Pricing & Inventory Control, Empirical/Behavioral Operations Management, Retail Operations Management, and Revenue Management. She teaches courses such as MGCR 472- Operations Management, MGSC 434- Data-driven models for Operations Analytics, and MGSC 695- Decision Analytics and Modelling for Operations. Her work includes publications in journals such as Manufacturing & Service Operations Management and Production and Operations Management, and she has received funding from the Natural Sciences and Engineering Research Council of Canada and the Social Sciences and Humanities Research Council of Canada for projects related to retail operations and consumer behavior.

Rim Hariss is an Assistant Professor of Operations Management at the Desautels Faculty of Management, McGill University. Her research focuses on Operations Research, Optimization, Behavioral Operations Management, and Revenue Management and Pricing. Hariss's work explores the intersection of data-driven analytics and behavioral insights to enhance decision-making in complex operational settings. Her publications address topics such as constrained optimization, pricing strategies for heterogeneous products, and the integration of behavioral considerations into pricing models. She also investigates issues like markdown pricing with quality perception and cross-store fulfillment estimation through customer journey analysis.