About Me

I am a Postdoctoral Research Fellow at Hong Kong Catastrophic Risk Centre (HKCRC), Lingnan University, where I am also the associate programme director of the Master of Arts in Artificial Intelligence and the Future programme.

My research is motivated by a broad question: how should rational agents learn from new information under uncertainty? Rational agents continually acquire new information, form and revise beliefs, and make decisions in light of an ever-changing body of evidence. Understanding the epistemic principles that govern these processes—and how rational belief should guide rational action—lies at the center of my work in formal epistemology and decision theory.

I am also interested in how these questions extend from human to artificial reasoning. Modern AI systems likewise learn from information, construct internal representations of the world, and make decisions under uncertainty, raising many of the same foundational questions concerning belief, representation, explanation, and rational agency. I am particularly interested in what modern deep learning systems reveal about machine reasoning, how learned representations should be understood from an epistemological perspective, and how decision-theoretic ideas can help clarify foundational concepts in artificial intelligence, including intelligence and preference-based approaches to AI alignment.

I am always happy to discuss research ideas and ongoing projects. Please feel free to contact me at maomeiwang@ln.edu.hk.

Here is my CV.