Alys Liang

Dr. Alys Liang is an Assistant Professor in Operations Management at McGill University's Desautels Faculty of Management. Her research focuses on retail analytics, particularly in the context of sustainability, with an emphasis on reducing emissions and landfill contributions within the fashion industry. Her methodological approach incorporates optimization, probability, and stochastic analysis to address complex stochastic optimization problems. Dr. Liang holds a Ph.D. in Technology & Operations from the University of Michigan and degrees in Mathematics and Applied Mathematics, and Economics from Peking University.

Alys Liang is a researcher at McGill University specializing in Artificial Intelligence, Algorithmic Design, Sustainability, and Social-good Operations. Her work focuses on developing algorithmic solutions for complex operational challenges, particularly in retail and supply chain management. Liang's research explores dynamic substitution, inventory planning, and pricing strategies under uncertainty, with an emphasis on optimizing profitability and sustainability. She has published extensively on topics such as assortment planning, customer returns, and waste-aware display policies. Her studies often integrate mathematical models like linear programming and bandit algorithms to address real-world problems in online grocery retail and beyond.