Hi there, this is Han-Ching Ou :)

About Dr. Ou

I currently work as a Senior Machine Learning Engineer at GEICO (AI Solutions Team), where I build and deploy machine learning systems for large-scale decision optimization, including recommendation systems and customer retention modeling. Previously, I worked at Afiniti (R&D Decision Team), developing multi-dimensional pairing algorithms to optimize real-world business decisions at scale.

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. and M.S. at National Taiwan University (EE & CS Group).

My interests lie in bridging AI research with real-world applications, particularly in decision optimization, reinforcement learning, and large-scale machine learning systems.

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)