I am a Ph.D. student in Computer Science at Emory University, advised by Prof. Liang Zhao. I build AI systems that retrieve knowledge, reason over complex information, collaborate autonomously, and ultimately accelerate scientific discovery. My research spans Agentic AI, Scientific AI, Retrieval-Augmented Intelligence, and Graph Intelligence, with a particular interest in enabling foundation models to make better use of external knowledge, structured reasoning, and adaptive multi-agent collaboration.
My research has evolved from graph representation learning and spatio-temporal data mining to retrieval-augmented AI systems and autonomous research agents. This line of work has led to publications at leading AI and data mining venues, including ICML, NeurIPS, KDD, NAACL, SIGIR, WSDM, ACL, and CIKM. Before joining Emory, I worked with Prof. Yong Deng and Prof. Fuyuan Xiao on graph learning and time-series modeling. I am always excited to discuss new ideas and collaborate on challenging research problems. I am actively interested in research collaborations, visiting positions, academic and industry internships, and full-time research opportunities. If our research interests align, please feel free to reach out by email.
