Erdun Gao

About Me

I am a Research Fellow at the Responsible AI Research Centre, Australian Institute for Machine Learning, where I am a member of the KIPS Group led by Prof. Dino Sejdinovic. I received my Ph.D. in Applied Statistics (2025) from the School of Mathematics and Statistics at The University of Melbourne, where I was part of the Machine Learning and Reasoning (MLR) Group, advised by Prof. Mingming Gong and Prof. Howard Bondell. I also hold an M.S. in Signal and Information Processing (2020), supervised by Prof. Zhibin Pan, and a B.E. in Information Engineering (2017), both from the School of Information and Communication Engineering, Xi’an Jiaotong University.

Research Interests

My research broadly focuses on causality and causal machine learning, including fundamental problems in causal discovery, causal effect estimation, and causal experimental design. I am also interested in using causal modeling to address broader machine learning problems, and in combining causal reasoning with uncertainty quantification and data-efficient learning.

• Causal Foundations: Causal Discovery, Causal Effect Estimation, and Causal Experimental Design.
• Causal AI Systems: Causal LLMs, Causal Agents, and Causal World Models.
• Other ML: Uncertainty Quantification, Data Selection, and Data-Efficient Learning.