Sichen Guo

Hi! I am a final-year Ph.D. candidate in Management Science at Research Institute for Interdisciplinary Sciences at Shanghai University of Finance and Economics (SUFE), advised by Professor Chaolin Yang. I am currently a visiting student at University of Miami, advised by Professor Cong Shi. My research focuses on designing effective policies and algorithms for operations management problems including inventory management, supply chains, and dynamic pricing. Currently, I am also exploring trust-aware algorithm design to enhance human-AI collaboration in operations management. [Curriculum Vitae]

Education

• Ph.D. in Management Science, (2021-2026), Shanghai University of Finance and Economics, Shanghai, China.

  • Advisor: Professor Chaolin Yang.

• Visiting Student, (2024-2026), University of Miami, Miami, FL.

  • Advisor: Professor Cong Shi.

• Dual B.S. degrees in Applied Mathematics and Economics (2017-2021), Southwestern University of Finance and Economics, Chengdu,China.

Research Interests

• Methodologies: Dynamic Programming and Reinforcement Learning, Online Learning.

• Applications: Inventory and Supply Chain Management, Revenue Management, Online Game, Human-AI Collaboration.

Papers Under Revision

• An Online Mirror Descent Learning Algorithm for Multiproduct Inventory Systems, Sichen Guo, Cong Shi, Chaolin Yang, Christos Zacharias, Minor Revision at Operations Research.

• Robust Allocation Policies for Distribution Systems with Replenishment, Liangquan Wang, Sichen Guo, Chaolin Yang Major Revision at Manufacturing & Service Operations Management.

Working Papers

• Switching Gradient: Learning to Compete with Price-Matching Guarantee, Sichen Guo, Shukai Li, Cong Shi, Chaolin Yang.

• Asymptotically Optimal Policies for Dual Sourcing System with Service-Level Constraints, Sichen Guo, Nan Liu, Chaolin Yang.