Projects per year
Personal profile
Research interests
Discovering, designing and building statistical models that better population and planet health through:
- Variable selection and feature extraction solutions for large and complex data
- Statistical model building for better and more accurate prediction
- Correlated, clustered and complex data analysis
- Classification and improved prediction methods for multiplatform data
- Development of regularization methods for high-dimensional data
- Resampling-based stability information
- Robust selection and estimation methods including when data contains outliers, errors or some of the information is missing
- Analysis of multi-layered and structured data in bioinformatics, microbiome, organ transplant and neuroscience applications
Research engagement
- Industry and government partners are welcome to contact me to explore projects and partnerships that would benefit from the capability of my research group
- Reliable and accurate statistical solutions for modern complex data (Australian Research Council funded, as CI)
- Fast fexible feature selection for high dimensional challenging data (Australian Research Council funded, as CI)
- Cost-Utility Comparison of Down-Titration Strategies for Safer and More Efficient Use of Biologics in Adults with Rheumatoid Arthritis and Psoriatic Arthritis (NHMRC funded, as AI)
- Better Outcomes in Inflammatory Arthritis (NHMRC funded, as AI)
Research student supervision
Samuel Muller has supervised to completion 10 Postdocs, 13 PhDs, 2 Masters of Research students and 13 Honours students. Currently he supervises 4 Postdocs and 2 PhD students.
Biography
Samuel Muller is a Professor of Statistics and a Fellow of the American Statistical Association with expertise in variable selection and inference for statistically challenging data. He is the inaugural Head of School in the School of Mathematical and Physical Sciences and a Theory and Methods Editor for the Australian and New Zealand Journal of Statistics. He served a full term on the Australian Research Council College of Experts until 2021. His past employment includes
Macquarie University: from 2020 - present
- Head, School of Mathematical and Physical Sciences, since 2022
- Head, Department of Mathematics and Statistics, 2020-2021
University of Sydney: from 2008 to 2020
- Head (Acting and Interim), School of Mathematics and Statistics, 2019 - 2020
- Promoted to Professor of Statistics, 2018
- Associate Dean Research Education, Faculty of Science, 2016-2019
- Promoted to Associate Professor, 2015
- Promoted to Senior Lecturer, 2010
- Lecturer, School of Mathematics and Statististics
University of Western Australia: from 2006 to 2007
- Lecturer, School of Mathematics and Statistics
Australian National University: from 2003 to 2004
- Postdoctoral Fellowship (funded by the Swiss National Science Foundation), Mathematical Sciences Institute
- Lecturer, Department of Mathematical Statistics and Actuarial Science, 2002-2003 and 2004-2006
- Associate Lecturer, Department of Mathematical Statistics and Actuarial Science, 1998-2002
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 2026
College of Experts, Member, Australian Research Council
1 Jan 2019 → 31 Dec 2021
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Collaborations and top research areas from the last five years
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DP23: Reliable and accurate statistical solutions for modern complex data
Welsh, A. H., Hui, F., Muller, S. & Cantoni, E.
21/02/23 → 20/02/26
Project: Research
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NHMRC: CRE for Better Outcomes in Inflammatory Arthritis
March, L., Thomas, R., Lassere, M., Buchbinder, R., Hill, C., Keen, H. I., Wechalekar, M. D., Munro, J., Figtree, G. A., Schofield, D., Xue, M., El-Omar, E., Muller, S., Bereza-Malcolm, L., Sinnathurai, P., Singh-Grewal, D., Lester, S., Willers, C., Youssef, P. & Proudman, S. M.
1/12/21 → 1/12/26
Project: Research
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USYD Led: CRE for Better Outcomes in Arthritis and Autoimmune Diseases
March, L., Thomas, R., Lassere, M., Buchbinder, R., Hill, C., Keen, H. I., Wechalekar, M. D., Munro, J., Figtree, G. A., Schofield, D., Xue, M., El-Omar, E., Muller, S., Bereza-Malcolm, L., Sinnathurai, P., Singh-Grewal, D., Lester, S., Willers, C., Youssef, P., Proudman, S. M. & Worsley, H.
1/12/21 → 30/06/26
Project: Research
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MRFF: Cost-Utility Comparison of Down-Titration Strategies for Safer and More Efficient Use of Biologics in Adults with Rheumatoid Arthritis and Psoriatic Arthritis
March, L., Buchbinder, R., Lassere, M., Proudman, S. M., Thomas, R., Schofield, D., Xue, M., Wechalekar, M. D., Whittle, S. L., Sinnathurai, P., Keen, H. I., Hill, C., Youssef, P., Benham, H., Bereza-Malcolm, L., Willers, C., Schachna, L., Muller, S., Perera, C. & Tymms, K.
1/08/21 → 31/07/25
Project: Research
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ARC DP: Fast flexible feature selection for high dimensional challenging data
Ormerod, J. T., Muller, S. & Tarr, G.
1/06/21 → 31/05/24
Project: Research
Research Outputs
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GEE-assisted variable selection for latent variable models with multivariate binary data
Hui, F. K. C., Müller, S. & Welsh, A. H., 2023, In: Journal of the American Statistical Association. 118, 542, p. 1252-1263 12 p.Research output: Contribution to journal › Article › peer-review
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NEMoE: a nutrition aware regularized mixture of experts model to identify heterogeneous diet-microbiome-host health interactions
Xu, X., Lubomski, M., Holmes, A. J., Sue, C. M., Davis, R. L., Muller, S. & Yang, J. Y. H., Dec 2023, In: Microbiome. 11, p. 1-14 14 p., 51.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure) -
Screening methods for linear errors-in-variables models in high dimensions
Nghiem, L. H., Hui, F. K. C., Müller, S. & Welsh, A. H., Jun 2023, In: Biometrics. 79, 2, p. 926-939 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)7 Downloads (Pure) -
Surface area estimation using 3D point clouds and Delaunay triangulation
Farhood, H., Muller, S. & Beheshti, A., 2023, Proceedings of the Second International Conference on Innovations in Computing Research (ICR’23). Daimi, K. & Al Sadoon, A. (eds.). Cham: Springer, Springer Nature, p. 28-39 12 p. (Lecture Notes in Networks and Systems; vol. 721).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
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COMBSS: Best Subset Selection via Continuous Optimization
Moka, S., Liquet, B., Zhu, H. & Muller, S., 5 May 2022, (Submitted) arXiv.org, (arXiv).Research output: Working paper › Preprint
Prizes
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Elected Member of the International Statistical Institute (ISI)
Muller, Samuel (Recipient), 4 Jun 2021
Prize: Honorary award
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Special Commendation, Award for Excellence in Graduate Research Supervision
Muller, Samuel (Recipient), 2019
Prize: Honorary award