Chloe Kim Glaeser uses empirical methods to address challenges faced by omni-channel retailers. Her research interests include empirical operations, omni-channel retailing, data-driven decision making and consumer behavior.
Her teaching interests are closely connected with her research: big data analytics, data-driven decision making, retail operations and operations management and logistics.
Professor Glaeser’s forthcoming article “Optimal Retail Location: Empirical Methodology and Application to Practice” was a finalist for the 2017 M&SOM Practice-Based Research Competition.
She worked as a financial analyst at Merrill Lynch and OpenText, and as a project advisor at the Centre for Operations Excellence at the University of British Columbia where she advised graduate students on industry consulting projects.
Professor Galeaser is completing her PhD from The Wharton School at the University of Pennsylvania. She received her master of management in operations research from the University of British Columbia and her bachelor of commerce and bachelor of arts in mathematics from Queen’s University in Canada.