معرفی
Associate Professor John Ormerod is affiliated with the Statistics Research Group at the School of Mathematics and Statistics, University of Sydney. His research focuses on advanced statistical methodologies, including Variational Bayes, Generalized Linear Mixed Models, Splines, and Missing Data analysis.
- Current research students: Rajan Shankar and Jackson Zhou
- Key research strengths: Precision and Digital Health, Data and Decisions, National Security
His work spans computational statistics, bioinformatics, and applications in health and biological data. Recent publications emphasize scalable Bayesian inference, variable selection, and single-cell data analysis frameworks.
Grants include multiple Australian Research Council (ARC) Discovery Projects (2021, 2017, 2012, 2010) supporting research in feature selection, network modeling, and computational efficiency.
He has supervised projects on modern regularization techniques and fast expectation propagation, contributing to BMC Bioinformatics, Bioinformatics, and Journal of Computational and Graphical Statistics.
