Bowen Wei

Hello! My name is Bowen Wei, and I am a fourth-year Ph.D. student in Computer Science at George Mason University. I am fortunate to be advised by Professor Ziwei Zhu.

My research sits at the intersection of trustworthy AI and LLM reasoning, with a growing focus on agentic AI safety and reinforcement learning for building reliable, autonomous systems. I develop interpretable learning methods—including prototype-based and neuro-symbolic approaches—that make model decisions transparent, auditable, and robust for high-stakes applications, revealing what evidence or rules drive a prediction and when the model may fail.

In parallel, I investigate agent safety evaluation and reinforcement learning techniques for agentic reasoning, including safety benchmarking under adversarial prompt injection and self-play frameworks. Ultimately, I aim to build AI systems that are both interpretable in their inner logic and safe and reliable in autonomous, evidence-grounded decision-making.