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Samuel Muller

PhD, Fellow of the American Statistical Association, Professor

 https://orcid.org/0000-0002-3087-8127
  • Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
19982021

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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
  • 2019-2020 Head of School (Acting and Interim), 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 and 2 Master of Research students.

Education/Academic qualification

Mathematics, PhD, University of Bern

Award Date: 1 Nov 2002

Statistics and Insurance Mathematics, Diploma (MSc), University of Bern

Award Date: 1 Oct 1998

External positions

Honorary Professor, University of Sydney

1 Sep 2020 → 31 Aug 2023

College of Expert, Member, Australian Research Council

1 Jan 2019 → 31 Dec 2021

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