Larkin Liu


Office: Room 01.10.036
Boltzmannstr. 3
85748 Munich, Germany

Short Bio

I am a doctoral student in the group of Prof. Jalal Etesami. My specific research objectives involve bridging the gap between operations research and machine learning, and finding novel applications in the various areas of applied multi-agent systems.​​​​ Here is my biographical website.

My research interests include:

  • Methods:
    • Stochastic Decision Processes
    • Reinforcement Learning
    • Causal Inference
  • Applications:
    • Operations Management
    • Multi-Agent Systems
    • Platform Economics


Google ScholarDBLP


If my research area excites you, feel free to reach out to discuss potential avenues of collaboration or M.Sc./B.Sc. supervision.

Supervised Theses / Advanced Seminar Projects

  • 2023 B. Altinel, Master's Thesis: Large Scale Machine Learning Systems for Maritime Logistics
  • 2023 S. Misfeldt, Master's Thesis: Application of Deep Reinforcement Learning to Multi-Sourcing Strategies in Inventory Control
  • 2023 M. Hoaxhaj, Bachelor's Thesis: Managerial Insights for Competition in Supply Chains
  • 2023 L. Jayathilake, Advanced Seminar Project: Risk Mitigation in Newsvendor Models
  • 2022 M. Rueda, Advanced Seminar Project: Data-Driven Marketing Strategy for Bike Sharing Systems