I am a Ph.D. student in School of Mathematics and Statistics at the University of Melbourne, advised by Prof. Mingming Gong. and Prof. Howard Bondell.

My research focuses on causal inference and large language models. I develop robust methods for estimating causal effects in complex settings, including unobserved confounding and violations of standard assumptions. I am also interested in bringing causal or logical reasoning and large language models together.

Previously, I received my M.Sc. and B.Sc. in Statistics from Peking University, advised by Prof. Xiao-Hua Zhou. I also spent some time in ByteDance and Agibot as a research intern.