I'm currently doing a Ph.D. in muti-agent reinforcement learning and its applications to the evolution of cooperation at the university of manchester. I am supervised by Prof. Xiaojun Zeng.  

My research focuses on multi-agent reinforcement learning as a computational framework for understanding how cooperation, reputation, and normative behaviour emerge and stabilise in decentralised multi-agent systems. During my master’s studies, I investigated how social exclusion and expulsion mechanisms shape cooperative dynamics in social dilemmas, grounding my work in evolutionary game theory and networked interactions.

Building on this foundation, my doctoral research examines how cooperative facilitation mechanisms, such as selective interaction and emergent reputation, operate under different learning paradigms, with a particular emphasis on comparing social learning and reinforcement learning frameworks. Through this work, I aim to develop learning-based, bottom-up models in which cooperative and normative behaviours arise from agent interaction rather than being imposed externally, thereby promoting robust cooperative collective intelligence.