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 was 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*
"Power of Waste-Aware Display Policies in Online Grocery Retail: A Unified Framework" coauthor with Sajjad Najafi, and Huanan Zhang is now available online. [SSRN]
The paper will be presented at the upcoming INFORMS Annual Meeting in Atlanta. We look forward to your feedback and discussion!
Session: MC53 – Retail Analytics and Marketplace Innovation
Time & Location: : October 27 1:15 p.m. – 2:30 p.m. ED, Building B Level 3 B313
INFOMRS session info:
In the upcoming INFORMS Conference in Atlanta, I will be chairing a session
Session Title: TD55 – Innovation and New Frontiers in Retail Operations
Time & Location: Tuesday, October 28 2:45 p.m. – 4:00 p.m. EDT, Building B Level 3 B314
The session features four exciting talks. We look forward to having you join us for a research discussion!
Agenda:
2:45 p.m. – 3:03 p.m.
Assortment Optimization Without Prediction: An End-to-End Framework with Transaction Data
Shaoyu Wang¹, Pin GAO², Andre Cire³, Ningyuan Chen⁴; ¹²The Chinese University of Hong Kong, Shenzhen, Shenzhen, China, People's Republic of, ³University of Toronto, Toronto, ON, Canada
Service Design Using Personal Information
Who Should Fulfill? the Role of Return Policies in E-Commerce Fulfillment Strategy
Ozalp Ozer¹, Serdar Simsek², Jiarui (Gary) Wei³; ¹Amazon, Kirkland, WA, United States, ²The University of Texas at Dallas, Richardson, TX, United States, ³The University of Texas at Dallas, Richardson, TX, United States
Papers Teaching Industry Immersions Research Exploration Curriculum Vitae