I am a PhD student at ETH Zurich, supervised by Prof. Francesco Corman and Prof. Andreas Krause. My research interests are sequential decision-making and data-driven algorithms. I am particularly passionate about reinforcement learning, multi-agent learning, safe learning, and their applications in transportation systems.
Lead a team of five data scientists.
Behavioral Credit Scoring:
ML-Driven Marketing Campaign:
Personalized Newsletter and E-Commerce Recommender Systems:
Delivery Delay Estimation:
Systemic Risk Model Execution Efficiency:
Treasury Department Cash Traceability:
E-Trading Execution Limits Calibration:
Listed derivatives liquidity:
Challenge: Find a solution such that white to move wins.
I am happy to hear your solution if you can solve it even with the assistance of an engine! I am also open to discussing why many modern engines fail to solve it.