Keywords
Biography
Dr. Ziyang Lyu is a Lecturer (assistant professor) and DECRA fellow in Statistics at the School of Mathematics and Statistics. Before that, he completed his Ph.D. in Statistics at the Australian National University in 2020. He worked as a Postdoctoral Research Fellow at the University of Queensland from 2020 to 2021 and at the University of New South Wales from 2021 to 2024.
His research focuses on asymptotic analysis, mixed models with...view more
Dr. Ziyang Lyu is a Lecturer (assistant professor) and DECRA fellow in Statistics at the School of Mathematics and Statistics. Before that, he completed his Ph.D. in Statistics at the Australian National University in 2020. He worked as a Postdoctoral Research Fellow at the University of Queensland from 2020 to 2021 and at the University of New South Wales from 2021 to 2024.
His research focuses on asymptotic analysis, mixed models with particular emphasis on crossed random effects, and finite Gaussian mixture models. He is also deeply interested in machine learning and pattern recognition, especially semi-supervised learning, approached from a statistical perspective.
I am always looking for self-motivated students with a strong background in mathematics. If you are interested in working with me, please email me your CV, academic transcripts, and any research papers you have authored (or a research proposal/research statement). Scholarships are available for qualified PhD students.
My Grants
- 2025-2026 Involved (CI) in the project 'Revolutionary AI-Enabled Modular Power Portal System for Urban Clean Energy Distribution', TRaCE Lab to Market fund, Australia, 4,191,250 AUD
- 2026-2029 Involved (Lead CI) in the project 'Advanced statistical methods for complex longitudinal data ', Australian Research Council Discovery Early Career Researcher Award (DECRA), 480,678 AUD
My Research Supervision
Areas of supervision
Asymptotic Theory; Mixed model; Statistical Methodology;Semi-Supervised Learning; Longitudinal Analysis; Complex Data Analysis
Currently supervising
1. Zhanzhongyu Gao (PhD student)
2. Chen Liang (PhD student)
3. Hao Shi (PhD student)
4. Jinyang Liao (Master student)
My Teaching
2026:
MATH2871-Data Management for Statistical Analysis (Course Convener)
2025:
MATH2871-Data Management for Statistical Analysis (Course Convener)
MATH5846-Introduction to Probability and Stochastic Processes (Course Convener)
2024:
MATH5856- Introduction to Statistics and Statistical Computations (Course Convener)
MATH5806-Applied Regression Analysis(Course Convener)