Hi there, this is Han-Ching Ou :)

About Dr. Ou

I am a Research Scientist specializing in AI-driven decision optimization, reinforcement learning, and graph-based modeling. Currently, I work at Afiniti (R&D Decision Team), developing multi-dimensional pairing algorithms to optimize real-world business decisions.

I earned my PhD in Computer Science from Harvard University, advised by Prof. Milind Tambe. I initially began my doctoral studies at USC as an Annenberg Fellow, and later transitioned to Harvard when our research group moved with Prof. Tambe. My research focused on reinforcement learning, game theory, and social network analysis, applying AI to optimize decision-making in NGOs, government agencies, and conservation organizations. Prior to that, I completed my B.S. & M.S. at National Taiwan University (EE & CS Group).

I am passionate about bridging AI research with real-world applications and am currently seeking opportunities in AI/ML research, decision optimization, and reinforcement learning.

Research Interest: 

Applications:

• Recommender Systems, Market Dynamics, Public Health, AI-driven Business Optimization

Techniques & Methods:

• Reinforcement Learning, Graph Learning, Game Theory, Multi-Agent Systems, Machine Learning

Curriculum Vitae (CV)