Scholar
Larkin Liu
Google Scholar ID: GVieIeAAAAAJ
Technical University of Munich
Citations & Impact
Citations
45
H-index
3
i10-index
2
Publications
13
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Ergodic AI Research Fellowship (2025)
- Mitacs Accelerate Industry Government Joint Research Grant (2015)
- Wallace G Chalmers Engineering Design Award (2013)
- Faculty of Applied Science Engineering Research Fellowship (2012)
- Magna Family Scholarship (2010)
Background
- Operational Research & Machine Learning Specialist aiming to bridge the gap between operations research and machine learning
- Interested in the theoretical foundations of learning algorithms
- Research methodology focuses on stochastic optimization, including: Online learning (reinforcement learning, multi-armed bandits, etc.), Sequential decision making (Monte Carlo tree search, simulation, etc.), and Multi-agent competitive games (equilibrium computation, mechanism design, etc.)
- Research goals combine theoretical analysis and empirical algorithmic results
- Applications in operations management (e.g., competitive supply chains, revenue management) and control theory (e.g., robotic control, swarm robotics)
- Experienced in building production-grade machine learning pipelines at scale for eCommerce, legal tech, and ad-tech companies
Co-authors