Research interests

Methodology:

• Stochastic Optimization
• Markov Decision Process
• Agent-based Simulation
• Reinforcement Learning

Application:

• Platform Economics (i.e., Information Design, Pricing Policy)
• Matching Theory

Academic Career and Positions held to date

• 2019-2023: Research assistant at the chair of Logistics and Supply Chain Management (Prof. Dr. Minner); TU Munich; funded by the DFG Research Training Group “Advanced Optimization in a Networked Economy”

Academic Education

• 2017-2019: M.Sc., Multidisciplinary Sciences (Math&Computer Sciences), University of Tokyo, Japan.
• 2012-2016: Undergraduate studies, Soochow University, China