Yanzhe (Murray) Lei · 雷彦哲

Research Interests

• Applications: Pricing and Revenue Management, Supply Chain Management and Logistics, Retail Operations, On-demand Platforms.

• Methodologies: Stochastic Control, Dynamic Optimization, Online Learning and Optimization, Asymptotic Analysis.

Accepted/Published Papers

• Privacy-Preserving Personalized Revenue Management (with Sentao Miao and Ruslan Momot), Management Science, 2023.

  • 2021 INFORMS Revenue Management & Pricing Conference Spotlight Presentation

  • Selected media mentions:Smith Business Insight, Kellogg Insight, The Conversation, HEC Knowledge, HEC Stories (in French), Maeil Business Newspaper (in Korean)

• Real-Time Spatial-Intertemporal Pricing and Relocation in a Ride-Hailing Network: Near Optimal Policies and the Value of Dynamic Pricing (with Qi (George) Chen and Stefanus Jasin), Operations Research, 2022.

• Joint Inventory and Pricing for a One-Warehouse Multi-Store Problem: Spiraling Phenomena, Near Optimal Policies, and the Value of Dynamic Pricing (with Sheng Liu, Stefanus Jasin, and Andrew Vakhutinsky), Operations Research, 2022.

• Joint Product Framing (Display, Ranking, Pricing) and Order Fulfilment under the MNL Model for E-Commerce Retailers (with Stefanus Jasin, Joline Uichanco, and Andrew Vakhutinsky), Manufacturing & Service Operations Management, 2021.

• Real-time Dynamic Pricing for Revenue Management with Reusable Resources, Advance Reservations, and Deterministic Service Time Requirements (with Stefanus Jasin), Operations Research, 2020.

• Joint Dynamic Pricing and Order Fulfillment for E-commerce Retailers (with Stefanus Jasin and Amitabh Sinha), Manufacturing & Service Operations Management, 2018.

  • 2017 POMS-HK Student Paper Competition, Second Place.

Selected Working Papers

• Dynamic Pricing for Multi-Product Consumer Electronics Trade-in Program (with Zhuolu Zhang and Sean Zhou), under minor revision at Operations Research.

• Expected Profit of Fixed Price Policy Decays Exponentially in the Lead Time (with Stefanus Jasin, Alys Liang, and Lai Wei), under first round review at Operations Research.

• Joint Dynamic Optimization of Pricing and Personalized Recommendations in Omnichannel Retailing (with Zhong-Zhong Jiang, Dan Zhang, and Rui Zhang), under first round review at Management Science.

• Joint Inventory, Pricing, and Fulfillment Control for a Multi-Warehouse Multi-Store Problem: An Asymptotically Optimal Lagrangian Policy (with Stefanus Jasin, Sentao Miao, Debjit Roy, and Zhiyuan Sun).

• Locally Private Clustering and Bandit Optimization in Personalized Revenue Management (with Sentao Miao, Ruslan Momot, and Yining Wang).

• Pricing and Returns in the Era of Big Tech: Implications of Information Asymmetry Reversal (with Kiarash Hassani and Anton Ovchinnikov).

• Dynamic Workforce Acquisition for Crowdsourced Delivery Platforms (with Stefanus Jasin, Jinyi Wang, Houtao Deng, and Jagannath Putrevu).

• Near-optimal Bisection Search for Nonparametric Dynamic Pricing with Inventory Constraint (with Stefanus Jasin and Amitabh Sinha).