Curriculum Vitae
Dr. Zhanglong Cao - Statistician & Bayesian & Data Scientist
Education
PhD, Statistics
Master in Science, Complex Analysis
Bachelor in Science, Mathematics and Applied Mathematics
Research Outputs
Publications
Olita, T., Sung, B., Sharma, A., Cao, Z., Mapulanga-Hulston, J., Gibberd, M. (2025). Fungicide Resistance Management in West Australia's Wheatbelt. Scientific Data, 12(1), 502. DOI:10.1038/s41597-025-04840-0
Cao, Z., Brown, J., Gibberd, M., Easton, J., Rakshit, S. (2024). Optimal design for on-farm strip trials—systematic or randomised? Field Crops Research, 318, 109594. DOI:10.1016/j.fcr.2024.109594
Olita, T., Cao, Z., Gibberd, M. (2024). Economic analysis of crop protection strategies: Comparing the value of increased fungicide inputs and crop genetic improvement in managing Ascochyta Blight in Australian Chickpeas. Pest Management Science. DOI:10.1002/ps.8319
Stefanova, K.T., Brown, J., Grose, A., Cao, Z., Chen, K., Gibberd, M., Rakshit, S. (2023). Statistical analysis of comparative experiments based on large strip on-farm trials. Field Crops Research, 297, 108945. DOI:10.1016/j.fcr.2023.108945
Olitaa, H. T., Sunga, B., Hoopera, B., Cao, Z., Lopez-Ruiza, F., Gibberda, M. (2023). The socio-economic impact of fungicide resistance in West Australia's Wheatbelt. Advances in Agronomy, 180, 1. DOI:10.1016/bs.agron.2023.03.005
Phong, W. N., Sung, B., Cao, Z., Gibberd, M., Dykes, G. A., Payne, A. D., Coorey, R. (2022). Impact of different processing techniques on the key volatile profile, sensory, and consumer acceptance of black truffle (Tuber melanosporum Vittadini). Journal of Food Science, 00, 1–14. DOI:10.1111/1750-3841.16275
Cao, Z., Stefanova, K., Gibberd, M., Rakshit, S. (2022). Bayesian inference of spatially correlated random parameters for on-farm experiment. Field Crops Research, 281, 108477. DOI:10.1016/j.fcr.2022.108477
Cao, Z., Bryant, D., Molteno, T. C., Fox, C., Parry, M. (2021). V-spline: An adaptive smoothing spline for trajectory reconstruction. Sensors, 21(9), 3215. DOI:10.3390/s21093215
Rakshit, S., Baddeley, A., Stefanova, K., Reeves, K., Chen, K., Cao, Z., Evans, F., Gibberd, M. (2020). Novel approach to the analysis of spatially-varying treatment effects in on-farm experiments. Field Crops Research, 255, 107783. DOI:10.1016/j.fcr.2020.107783
Shankar, M., et al. (2020). Targeting improved partial resistance using yield-loss response curves for foliar diseases of wheat. GRDC Updates.
Cao, Z., Bryant, D., Parry, M. (2018). Adaptive Sequential MCMC for Combined State and Parameter Estimation. arXiv preprint:1803.07734.
Cao, Z., Bryant, D., Parry, M. (2018). V-Splines and Bayes Estimate. arXiv preprint:1803.07645.
Conference Presentations
Software & Applications
OFE Design Tool
Interactive web application for designing on-farm experiments with optimal spatial arrangements.
R Shiny + Leaflet + D3.js
Bayesian Analysis Suite
Comprehensive toolkit for Bayesian statistical analysis in agricultural research.
R + Stan + JAGS
R Packages
Technical Skills
Statistical Analysis
Bayesian methods, experimental design, spatial statistics, machine learning
Programming
R, Python, SQL, JavaScript, Git version control
Software Development
R Shiny, web development, API design, containerization
Data Visualization
ggplot2, D3.js, interactive dashboards, scientific plotting
Machine Learning
Random forests, neural networks, ensemble methods, model validation
Cloud Computing
AWS, Docker, container orchestration, scalable applications
Here is my project GitHub repository.