Faculty Profile

Xinrun Wang is an emerging leader in game-theoretic deep learning, reinforcement learning, and decision-making models, with impactful contributions to AI for finance, security, and multi-agent systems.

Bridges theoretical advances in game theory and reinforcement learning with practical applications in finance, cybersecurity, and multi-agent systems; recognized for methodological innovation and real-world relevance; strong interdisciplinary collaborations; PI for foundational research grants in decision-making models.

Focused research areas include Development of advanced reinforcement learning and game-theoretic models for decision-making; integration of external knowledge into large language models; context-aware and memory-augmented RL for finance; pursuit-evasion and security games; explainable AI for complex environments.