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*
[1] Our paper Asymptotically Optimal Sequential Testing with Heterogeneous LLMs, with Guokai Li, Yanzhe (Murray) Lei, Mo Liu, Stefanus Jasin, Fenghua Yang, and Preet Baxi, is available online
Papers Teaching Industry Immersions Research Exploration Curriculum Vitae