People and Research People

People Details

Dr. LO Venus Hiu Ling


Assistant Professor

7-274, Lau Ming Wai Academic Building, City University of Hong Kong
+852 34424686
+852 34420189
Personal Web


PhD - Operations Research (Cornell University)
M.Math - Combinatorics and Optimization (University of Waterloo)
M.Acc - Accounting (University of Waterloo)
B.Math - Mathematics/Chartered Accountancy (University of Waterloo)


Venus Lo received her PhD in operations research from the School of Operations Research and Information Engineering at Cornell University.  Prior to Cornell, she graduated from the University of Waterloo with a Masters of Mathematics in Combinatorics and Optimization, Masters of Accounting, and Bachelor of Mathematics.  Her research focuses on assortment optimization and pricing problems in revenue management.  In particular, she is interested in designing efficient algorithms with provable performance guarantees for revenue management problems.  


Award TitleInstitution
Early Career Award The Research Grants Council of Hong Kong
Canada Graduate Scholarships - Doctoral ProgramThe Natural Sciences and Engineering Research Council of Canada

Research Grants

PI: "Challenges of Order Fulfilment for an Omnichannel Retailer", General Research Fund - The Research Grants Council of Hong Kong, (2025), Lo, Venus

PI: "Multi-Stage Assortment Optimization for an Omnichannel Retailer", Early Career Scheme - The Research Grants Council of Hong Kong, (2023), Lo, Venus


Journal Publications and Reviews

Lo, Venus; Topaloglu, Huseyin / Omnichannel Assortment Optimization Under the Multinomial Logit Model with a Features Tree. April 2022; In: Manufacturing and Service Operations Management. Vol. 24, No. 2, pp. 1220-1240

Allman, Maxwell; Lo, Venus; McCormick, S. Thomas / Complexity of Source-Sink Monotone 2-parameter min cut. January 2022; In: Operations Research Letters. Vol. 50, No. 1, pp. 84-90

Lo, Venus; Topaloglu, Huseyin / Assortment optimization under the multinomial logit model with product synergies. November 2019; In: Operations Research Letters. Vol. 47, No. 6, pp. 546-552