Daokun Zhang is currently a Level B Research Fellow with Department of Data Science & AI, Faculty of Information Technology, Monash University, Australia. Prior to that, he was an Adjunct Lecturer at Monash University Suzhou Campus from April 2021 to August 2022, and he ever worked as a Postdoctoral Research Associate at The University of Sydney from June 2019 to April 2021. In November 2019, Dr. Zhang received his Ph.D degree in data science from the University of Technology Sydney, NSW, Australia.

Dr. Zhang's research focuses on graph machine learning, specifically on studying problems related to graph representation learning, graph structure learning, node classification, and link prediction, etc. Additionally, he applies graph machine learning techniques to solve real-world problems across different disciplines, including knowledge graph completion and alignment, combinatorial optimization, computational material and drug discovery, particle system simulation, and geographic data forecasting.