About Me
Lecturer in Statistics (since Aug 2025) · EECMS, Curtin University
Professional Overview
I am a statistician and biometrician focusing on Bayesian methods, experimental design, spatial modelling, and applied agricultural analytics. Since 18 August 2025 I serve as a Lecturer in Statistics in the School of Electrical Engineering, Computing and Mathematical Sciences (EECMS) at Curtin University, combining teaching, supervision, and applied research.
My recent work includes decision-support tools, optimal design for on-farm experimentation, and translating modern methods for growers and industry partners. Previously I was a Research Fellow in the Curtin Biometry & Agricultural Data Analytics (CBADA) team, contributing to large multi-institutional GRDC projects and methodological development.
Academic & Research Appointments
Lecturer in Statistics, EECMS — Curtin University
Aug 2025 – Present
- Teaching statistical methodology and applied analytics (unit coordinator for STAT2001 and STAT2004)
- Supervising HDR and honours projects in Bayesian and spatial statistics
- Extending on-farm experimental design frameworks
Research Fellow / Research Associate, SAGI West → CBADA — Curtin University
Nov 2018 – Aug 2025
- Led statistical components in multi-site GRDC projects
- Developed optimal strip and on-farm trial design workflows
- Built interactive analysis and decision-support Shiny tools
Research Expertise
| 📊 Linear Mixed Models | Advanced modelling for complex agricultural data |
| 🔍 Bayesian Statistics | Probabilistic inference and uncertainty quantification |
| 🔄 MCMC Methods | Computational methods for complex models |
| 🧪 Experimental Design | Optimal design strategies for agricultural trials |
| 🌍 Geostatistics | Spatial analysis and modelling |
| 📈 Smoothing Splines | Non-parametric regression techniques |
| 🌾 Agricultural Statistics | Real-world applications in crop science |
| 🚜 On-Farm Experiments | Field trial design and analysis |
Education
- PhD in Statistics (2014–2018), University of Otago, New Zealand
- Master of Science in Complex Analysis (2008–2011), University of Shanghai for Science and Technology
- Bachelor of Science in Mathematics (2003–2007), Jiangsu Normal University
Impact
During my time with SAGI West / CBADA I contributed to 50+ GRDC-funded projects worth over $43 million in total value, producing peer-reviewed publications, R packages, decision-support tools, and scalable frameworks embedded in national agricultural programs.
Get in Touch
I’m always interested in:
- Research collaborations in agricultural statistics
- Speaking opportunities at conferences and workshops
- Student supervision for statistical methodology projects
- Industry partnerships for applied statistical solutions
Connect via email, GitHub, or LinkedIn — or use the contact form.
“Statistics is the science of learning from data, and I’m passionate about making this learning accessible and impactful for real-world applications.”