Projects per year
Personal profile
Biography
Samuel Muller is a Professor of Statistics with expertise in variable selection and inference for statistically challenging data. He is the Head of Department in the Department of Mathematics and Statistics and a Theory and Methods Editor for the Australian and New Zealand Journal of Statistics. He is a Member of the ARC College of Experts for a three year term until 2021. His past employment includes
- 2020-present Head of Department and Professor of Statistics, Department of Mathematics and Statistics, Macquarie University
- 2020-present Honorary Professor, School of Mathematics and Statistics, University of Sydney
- 2019-2020 Acting and then Interim Head of School, School of Mathematics and Statistics (SoMS), University of Sydney (USYD)
- 2018 Professor of Statistics, SoMS, USYD
- 2016-2019 Associate Dean Research Education, Faculty of Science, USYD
- 2015 Associate Professor, SoMS, USYD
- 2010 Senior Lecturer, SoMS, USYD
- 2008 Lecturer, SoMS, USYD
- 2006 Lecturer, SoMS, University of Western Australia
- 2004 Lecturer, Department of Mathematical Statistics and Actuarial Science, University of Bern, Switzerland
- 2003 Postdoctoral Fellowship (from the Swiss NSF), Mathematical Sciences Institute, The Australian National University
Research interests
Samuel Muller is a member of the Statistics Research Group. His research is motivated by complex data, including for longitudinal, clustered and correlated univariate and multivariate responses; classification and improved prediction methods for multiplatform data in but not limited to omics data. He investigates theoretical properties of regularization methods in various asymptotic scenarios and improves these methods by learning from resampling-based stability information. He develops advanced model visualisation methods to enable interactive and dynamic model building, investigates robust selection and estimation methods in regression type models, and devises statistical methods for the analysis of multi-layered and structured data in bioinformatics, microbiome and neuroscience applications.
Research student supervision
Samuel Muller has supervised to completion 8 PhD and 13 Honours students. Currently he supervises 6 PhD students.
Education/Academic qualification
Mathematics, PhD, University of Bern
Statistics and Insurance Mathematics, Diploma (MSc), University of Bern
External positions
Honorary Professor, University of Sydney
1 Sep 2020 → 31 Aug 2023Fingerprint Dive into the research topics where Samuel Muller is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects
ARC DP: Dimension reduction and model selection for statistically challenging data
Welsh, A. H., Muller, S., Hui, F. & Ma, Y.
13/04/18 → 12/04/21
Project: Research
ARC DP: Prognosis based network-type feature extraction for complex biological data
Yang, J. Y. H., Muller, S., Omerod, J., Yang, P. & Mann, G. J.
1/05/17 → 1/05/20
Project: Research
ARC DP: Prediction, inference and their application to modelling correlated data.
Welsh, A. H. & Muller, S.
1/06/15 → 31/05/17
Project: Research
ARC DP: Vertically integrated statistical modelling in multi-layered omics studies.
Yang, J. Y. H., Muller, S. & Mann, G. J.
1/06/13 → 30/06/17
Project: Research
ARC DP: Building models for complex data
Welsh, A. H. & Muller, S.
1/01/11 → 31/12/14
Project: Research
Research Outputs
mcvis: multi-collinearity visualisation
Wang, K. & Muller, S., 2020, In : Biometric Bulletin. 37, 3, p. 12-14 3 p.Research output: Contribution to journal › Article
mcvis: a new framework for collinearity discovery, diagnostic, and visualization
Lin, C., Wang, K. & Muller, S., 30 Jul 2020, In : Journal of Computational and Graphical Statistics. 8 p.Research output: Contribution to journal › Article
Prediction modelling - part 2 - using machine learning strategies to improve transplantation outcomes
Coorey, C. P., Sharma, A., Muller, S. & Yang, J. Y. H., 8 Sep 2020, In : Kidney International.Research output: Contribution to journal › Article
Random effects misspecification can have severe consequences for random effects inference in linear mixed models
Hui, F. K. C., Müller, S. & Welsh, A. H., 15 Apr 2020, In : International Statistical Review.Research output: Contribution to journal › Article
The LASSO on latent indices for regression modeling with ordinal categorical predictors
Hui, F. K. C., Müller, S. & Welsh, A. H., Sep 2020, In : Computational Statistics and Data Analysis. 149, p. 1-13 13 p., 106951.Research output: Contribution to journal › Article
Prizes
Special Commendation, Award for Excellence in Graduate Research Supervision
Samuel Muller (Recipient), 2019
Prize: Honorary award
Vice-Chancellor’s Awards for Excellence in Outstanding Research - Higher Degree Supervision
Samuel Muller (Recipient), 2018
Prize: Honorary award