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John Ormerod is an Associate Professor at the University of Sydney in the Faculty of Science, specializing in statistical methodologies and data analysis. His research focus includes Variational Approximations, Generalised Linear Mixed Models, Splines, Data Mining, and Semiparametric Regression. Ormerod is a member of the Statistics Research Group, which contributes to the university's strengths in Precision Digital Health and Data Decisions. He engages in various research initiatives aimed at advancing the understanding and application of complex data sets, particularly in the context of biological data and prediction models, drawing on his extensive background in Bayesian statistics. Through his work, he collaborates on projects that seek innovative solutions for high-dimensional data challenges.
The University of Sydney • Sydney, Australia
Teaching and research in statistical methodologies, focusing on advanced data analysis techniques.
This entry applies to Faculty of Science PhD programs including Departments such as Life and Environmental Sciences, Physics, Chemistry, and Mathematics and Statistics.