Research Interest

Platform Operations Management

Education

• Ph.D., IEDA, Hong Kong University of Science and Technology, 2017-2021

• Visiting Student, International Center for Quantum Materials, Peking University, 2015-2015

• M.Phil., Theoretical Physics, Hong Kong University of Science and Technology, 2013-2015

• B.Sc., Physics Elite Class, Wuhan University, 2009-2013

Projects

• 主持，青年科学基金项目（C 类），国家自然科学基金委；

• 主持，创新研究基金项目，深圳市大数据研究院；

• 主持，企业项目，美团；

• 参与，重大项目，国家自然科学基金委；

Journal Publications (student coauthor)

1. Gao, P., Y. He, and X.J. Liu (2016), “Symmetry-Protected Non-Abelian Braiding of Majorana Kramers’ Pairs”, Phys. Rev. B. 

2. Gao, P., X. Fan, et al. (2021), “Resource Allocation Among Competing Innovators”, MS.

• 《香港经济日报》，2022/09/01.

3. Gao, P., Y. Ma, et al. (2021),  “Assortment Optimization and Pricing Under the Multinomial Logit Model with Impatient Customers”, OR.

4. Gao, P., X. Fu, et al. (2022), “Free Add-Ons in Services”, Service Science.

5. Chen, N., P. Gao, and S. Kou (2023), “Does the Prohibition of Trade-Through Hurt Liquidity Demanders?”, OR.

6. Li, G., P. Gao, and Z. Wang (2024), “Optimal Emission Regulation under Market Uncertainty”, NRL.

7. Yang, Z., X. Fu, et al. (2024), “Fairness Regulation of Prices in Competitive Markets”, MSOM. 

• 《Insurance Business Australia》，2024/09/12.

8. Li, G.,  et al. (2024), “Dealership or Marketplace with Fulfillment Services”, MSOM. 

9. Chen, Z. X. Fu, et al. (2025), "When to Conceal Attribute Information? The Roles of Consumer Search, Inventory, and Selling Mechanisms", MSOM. 

10. Chen, Y.-J., G. Gallego, P. Gao and Y. Li (2025), "Position auctions with endogenous product information: Why live-streaming advertising is thriving", MS.

Conference Proceedings

1. Yang, Z., X. Lei, and P. Gao, "Regulating Discriminatory Pricing in the Presence of Tacit Collusion", Wine 2024. 

• 《FT中文网》，2024/09/05.

• 提名，Service Science 最佳学生论文，2024 年INFORMS年会

2. Gao, P., Y. Liu, et al., “Robust Optimal Selling Mechanism under Non-linear Utility”, Wine 2024.

3. Li, G., P. Gao, and Z. Wang, “When to Push Ads: Optimal Mobile Ad Campaign Strategy under Markov Customer Dynamics”, Wine 2024. 

• 提名，最佳学生论文，2024年POMS-HK年会

4. Gao, P., Y. Liu, C. Wang,  and Z. Wang, “Sequential Assortment Recommendation under the Impatient Mixed Cascade Model”, Wine 2023.

Working Papers 

1. Fu, X., et al., “Privacy-Preserving Personalized Recommender Systems”. 

2. Fu, X., et al., “Temporal Flexibility in Emission Permits Regulation.”

• 第二名，最佳论文，2022年POMS-China年会 

3. Gallego, G., P. Gao, S. Wang, and G. Berbeglia, “Assortment Optimization with Downward Feasibility: Efficient Heuristics Based on Independent Demands.”

• 主题报告，2024年服务系统与服务管理会议; 2024年管理科学青年学者研讨会

4. Gao, P., Y. Liu, C. Wang, and Z. Wang, “Simple is Enough: A Cascade Approximation for Attention-Based Satisficing Choice Models.”

• 第一名，最佳论文，2023年全国供应链与运营管理学术年会

5. Chen, N., P. Gao, C. Wang, and Y. Wang, “Assortment Optimization for the Multinomial Logit Model with Repeated Customer Interactions.”

Lagzi, S., et al. and C. Wang, “Menu Optimization for Meal Delivery Platforms.”