Alys Liang 梁佳欣
There is a crack in everything, that's how the light gets in.
I am an Assistant Professor of Retail and Operations Management at McGill University. Before joining McGill, I obtained my PhD in Technology and Operations from the University of Michigan in 2024, where I am very fortunate to be advised by Prof. Stefanus Jasin and Prof. Joline Uichanco. Prior to my PhD journey, I obtained a B.A. in Economics and a B.S. in Mathematics and Applied Mathematics from Peking University.
My research interest evolves from algorithmic joint decision-making in large-scale retail operations and gradually finds its way towards broader operational challenges in incorporating environmental , societal priorities into supply chain management. Methodologically, my research employs optimization, probability, and stochastic analysis toolkits to tackle high-dimensional stochastic optimization problems.
My thesis, which focuses on large-scale product return management, drew inspirations from a one-year hands-on working experiences across flagship stores, fulfillment centers, warehouses and data scientist team during PhD. Looking forward, I will continue to craft and substantiate my research via immersive interactions with domain experts.
News
In the upcoming INFORMS Conference in Seattle, I will be chairing a session with Prof. Pengyu Qian.
The session features four exciting talks, and we look forward to having you join us for a research discussion!
Title: "Algorithms/Mechanisms for New Priorities in Operations."
Time & Location: Wednesday, October 23, from 12:15 PM to 1:30 PM in Room Summit – 330
Agenda:
12:15 PM - 12:33 PM, Target-Following Online Resource Allocation
Presenter: Chamsi Hssaine, University of Southern California
12:33 PM - 12:51 PM, Improving Utilization in Deceased Donor Kidney Allocation
Presenter: Grace Guan, Stanford University;
12:51 PM - 1:09 PM, Learning to Rank Under Strategic "Brush Wars"
Presenter: Yifan Feng, National University of Singapore
1:09 PM - 1:27 PM, Interpretable Data-Driven Policy for Index-Based Yield Protection
Papers Teaching Industry Immersions Research Exploration Curriculum Vitae