Jinran Wu

I am a research fellow in the School of Mathematics and Physics at the University of Queensland, Australia. I work with Professor Geoffrey J. McLachlan (Fellow of the Australian Academy of Science) on semi-supervised learning, specifically investigating missingness mechanisms and mixture modelling. I earned my PhD in 2022 from the Queensland University of Technology (QUT), under the joint supervision of Professor You-Gan Wang (biostatistician), Professor Kevin Burrage (applied mathematician), and Professor Yu-Chu Tian (computer scientist).

Following my doctoral studies, I was appointed as an Associate Lecturer at QUT, where I coordinated the course Modelling Dependent Data, covering topics such as time series analysis and longitudinal data modelling. I subsequently joined the Australian Catholic University as a Research Fellow, working with Professor Herbert W. Marsh (Fellow of the Academy of the Social Sciences in Australia and the British Academy of Social Sciences) on large-scale social survey data modelling, and also coordinated the course Interpreting Literature and Data.

My research focuses on machine learning and statistical modelling, with a particular emphasis on robust statistical methods and predictive analytics. I have published over 80 peer-reviewed papers in leading journals such as Pattern Recognition and several IEEE Transactions journals. My work has been cited over 1,450 times, and my current h-index is 22 (Google Scholar).

I currently serve as an Academic Editor for PLOS ONE and have guest-edited special issues for journals including Safety Science and Environmental Modelling & Assessment. I have acted as a frequent peer reviewer for over 50 leading journals, such as The New England Journal of Medicine and IEEE Transactions on Pattern Analysis and Machine Intelligence. Additionally, I have served as a grant reviewer for the German Academic Exchange Service.

I have served on program committees for major conferences such as the International Conference on Artificial Intelligence in Education and the Australasian Data Science and Machine Learning Conference. I actively engage in international research collaborations with scholars from leading institutions, including the University of Oxford (UK), the University of Munich (Germany), Michigan State University (US), and Xi’an Jiaotong University (China).

In 2022, I received the Chinese Government Award for Outstanding Self-Financed Students Abroad, a highly competitive distinction granted by the China Scholarship Council to acknowledge the top 500 Chinese scholars studying overseas.