Curriculum Vitae

Dr. Zhanglong Cao - Statistician & Bayesian & Data Scientist

Education

Sep 2014 - Aug 2018

PhD, Statistics

University of Otago (Dunedin, New Zealand)
Thesis title: Inference and Characterization of Planar Trajectories
Sep 2008 - Mar 2011

Master in Science, Complex Analysis

University of Shanghai for Science and Technology (Shanghai, China)
Sep 2003 - Jun 2007

Bachelor in Science, Mathematics and Applied Mathematics

Jiangsu Normal University (Xuzhou, China)

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

September 2024
Australian Applied Statistics Conference, Rottenest
Case Studies in Advanced Analysis of Large Strip On-farm Experiments
August 2024
AAGI Mini-Symposium
A Bayesian Workflow for Spatially Correlated Random Effects in On-farm Experiment
May 2024
Pawsey Centre
Analytics Innovations in On-farm Experiments
December 2022
Australian Applied Statistics Conference, Inverloch
Optimal design for OFE: systematic or randomised?
November 2022
StatsPD@Waite
A Bayesian Workflow for Spatially Correlated Random Effects in On-farm Experiment
September 2020
SAGI Symposium
On-farm Strip Trials: going beyond small plot experiments
December 2019
IBS, Adelaide
Model selection and principle of parsimony in statistical modelling in agriculture
May 2019
SAGI Symposium, Rottenest
Early Career Statistician

Software & Applications

Bayesian Analysis Suite

Comprehensive toolkit for Bayesian statistical analysis in agricultural research.

R + Stan + JAGS

Spatial Analysis Platform

Advanced spatial statistics and geostatistical analysis tools for agricultural data.

R + sf + gstat

R Packages

V-Spline

Adaptive V-spline and the Bayesian estimates.

GitHub Repository

Technical Skills

Statistical Analysis

Professional

Bayesian methods, experimental design, spatial statistics, machine learning

Programming

Professional

R, Python, SQL, JavaScript, Git version control

Software Development

Intermediate

R Shiny, web development, API design, containerization

Data Visualization

Professional

ggplot2, D3.js, interactive dashboards, scientific plotting

Machine Learning

Intermediate

Random forests, neural networks, ensemble methods, model validation

Cloud Computing

Beginner

AWS, Docker, container orchestration, scalable applications

Here is my project GitHub repository.