Li, Anran（李安然）

Biography

Prof. Anran Li is an associate professor at the Department of Decisions, Operations and Technology at The Chinese University of Hong Kong (CUHK) Business School. Prior to joining CUHK, she was a faculty member at the Department of Management, London School of Economics and Political Science (LSE). Prof. Li received her PhD in Operations Research from Columbia University in 2017.

Prof. Li is broadly interested in designing algorithms and analysing data in order to optimise supply chain decisions. More precisely, Prof. Li focuses on developing and estimating consumer choice models using econometric tools, optimising assortment and recommendation for both traditional retailing and online digital platform, and creating a fair marketplace for all shareholders. Prof. Li’s research has been published in leading journals such as Operations Research and Management Science. Prof. Li is passionate about bringing impacts to practice through the work. She is an active external researcher and scientist for a number of companies, including Hewlett Packard, SAS Institute, Sabre Airline Solutions and Jet.com.

Prof. Li has served as reviewer for premier journals such as Operations Research and Management Science, Manufacturing & Service Operations Management and Production and Operations Management. Prof. Li is the co-organiser of the 2023 INFORMS Revenue Management and Pricing (RM&P) Section Conference.

Teaching Areas

Supply chain management
Operations management
Revenue management and dynamic pricing

Research Interests

Operations Management
Supply Chain Management
Business Analytics
Revenue Management
E-commerce Applications
Choice Modeling and Assortment Optimization
Approximation Algorithms
Dynamic Programming and Online Algorithm

• Publications & Working Papers
  • Anran Li, Guillermo Gallego, Van-Anh Truong, and Xinshang Wang, “Online Personalized Resource Allocation with Customer Choice,” invited for resubmission at Operations Research.
  • Anran Li, Kalyan Talluri, and Muge Tekin, “Estimating Demand with Unobserved No-purchases on Revenue-managed Data,” under Minor Review at M&SOM.
  • Anran Li, Ningyuan Chen, and Shuoguang Yang, “Revenue Maximization and Learning in Products Ranking,” under Minor Review at Operations Research, accepted to EC’21.
  • Anran Li and Guillermo Gallego, “A Random Consideration Set Model for Demand Estimation, Assortment Optimization, and Pricing,” accepted at Operations Research.
  • Anran Li, Pin Gao, Yuhang Ma, Ningyuan Chen, Guillermo Gallego, Paat Rusmevichientong, and Huseyin Topaloglu (2021), “Assortment Optimization and Pricing under the Multinomial Logit Model with Impatient Customers: Sequential Recommendation and Selection,” Operations Research. Vol. 69, No. 5.
  • Anran Li, Ningyuan Chen, and Kalyan Talluri (2021), “Reviews and Self-selection Bias with Operational Implications,” Management Science. Vol. 67, No. 12.
  • Anran Li, Guillermo Gallego, Van-Anh Truong, and Xinshang Wang (2020), “Approximation Algorithms for Product Framing and Pricing,” Operations Research. Vol. 68, No. 1.

• Grants
  • Hong Kong Research Grants Council, General Research Fund 14506423, PI, HK$462,238, Jan 2024- May 2026
  • “Revenue Maximization and Learning in Products Ranking”, RIIF Fund awarded by LSE Department of Management with £4,000, 2021-2022
  • “Product Line Design and Pricing under the Basic Attraction Model”, RIIF Fund awarded by LSE Department of Management with £10,000, 2020-2021