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Dr Stacey Reinke

Senior Lecturer

Staff Member Details
Telephone: +61 8 6304 2709
Campus: Joondalup  
Room: JO19.332  

Stacey is a Senior Research Fellow with the Centre of Integrative Metabolomics & Computational Biology (CIMCB) in the School of Science.


Stacey Reinke received her PhD in Biochemistry from the University of Alberta (Canada, 2011) and held a Postdoctoral Fellowship, from the Canadian Institutes of Health Research, at the Karolinska Institute (Sweden) before being recruited to Perth in 2016. During her PhD and subsequent postdoctoral training, Stacey developed considerable expertise in the area of clinical and biomedical metabolomics, including biochemistry, analytical chemistry, large-scale cohort studies, statistics, and data science. She has applied these skills to several biological contexts, including mitochondrial and central energy dysfunction, neonatal asphyxia, neuroinflammation, and respiratory disease. Her current research focus is two-fold: (1) applying metabolomics and systems biology approaches to inform disease mechanisms and biomarker discovery in early-life contexts, and (2) enhancing the field of clinical and biomedical metabolomics through methodological advancement (high quality high-throughput workflows, quality assurance, data analysis).

Professional Memberships

  • Member of the international Metabolomics Society 2015 – present

Awards and Recognition

National and International Awards

  • 2015 – Metabolomics Society Early Career Prize, Metabolomics 2015, San Francisco, USA
  • 2012 – First prize, Student/Postdoctoral Oral Presentations, MetaboMeeting 2012, Manchester, UK

National and International Research Positions

  • Canadian Institutes of Health Research Postdoctoral Fellow, held at the Karolinska Institute (Stockholm, Sweden) 2014 – 2016

Research Areas and Interests

  • Clinical and biomedical metabolomics
  • Systems biology
  • Personalised medicine


  • Graduate Certificate in Tertiary and Adult Education, Murdoch University, 2019.
  • Doctor of Philosophy, Canada, 2012.
  • Bachelor of Science, Canada, 2005.


Recent Research Grants

  • Active lung disease in survivors of preterm birth? Can we treat it?,  National Health and Medical Research Council,  Project Grants,  2018 - 2022,  $79,000.

Recent Publications (within the last five years)

Journal Articles

  • Mendez, K., Broadhurst, D., Reinke, S., (2020), Migrating from partial least squares discriminant analysis to artificial neural networks: a comparison of functionally equivalent visualisation and feature contribution tools using jupyter notebooks. Metabolomics, 16(2), Article number 17, DOI:
  • Boyce, M., Lawler, N., Tu, Y., Reinke, S., (2019), Introducing Undergraduate Students to Metabolomics Using Liquid Chromatography–High Resolution Mass Spectrometry Analysis of Horse Blood. Journal of Chemical Education, 96(4), 745-750, DOI: 10.1021/acs.jchemed.8b00625.
  • Mendez, K., Reinke, S., Broadhurst, D., (2019), A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification. Metabolomics, 15(12), Article number: 150, DOI:
  • Mendez, K., Broadhurst, D., Reinke, S., (2019), The application of artificial neural networks in metabolomics: a historical perspective. Metabolomics, 15(11), Article Number 142, DOI: 10.1007/s11306-019-1608-0.
  • Mendez, K., Pritchard, L., Reinke, S., Broadhurst, D., (2019), Toward collaborative open data science in metabolomics using Jupyter Notebooks and cloud computing. Metabolomics, 15(10), Article no.125, DOI: 10.1007/s11306-019-1588-0.
  • Broadhurst, D., Goodacre, R., Reinke, S., Kuligowski, J., Wilson, I., Lewis, M., Dunn, W., (2018), Guidelines and considerations for the use of system suitability and quality control samples in mass spectrometry assays applied in untargeted clinical metabolomic studies. Metabolomics, 14(6), article no.72, DOI: 10.1007/s11306-018-1367-3.
  • Reinke, S., Galindo-Prieto, B., Skotare, T., Broadhurst, D., Singhania, A., Horowitz, D., Djukanovic, R., Hinks, T., Geladi, P., Trygg, J., Wheelock, C., (2018), OnPLS-Based Multi-Block Data Integration: A Multivariate Approach to Interrogating Biological Interactions in Asthma. Analytical Chemistry, 90(22), 13400-13408, DOI: 10.1021/acs.analchem.8b03205.
  • Reinke, S., Gallart-Ayala, H., Gomez, C., Checa, A., Fauland, A., Naz, S., Kamleh, M., Djukanovic, R., Hinks, T., Wheelock, C., (2017), Metabolomics analysis identifies different metabotypes of asthma severity. European Respiratory Journal, 49(3), 1601740, DOI: 10.1183/13993003.01740-2016.
  • Naz, S., Gallart-Ayala, H., Reinke, S., Mathon, C., Blankley, R., Chaleckis, R., Wheelock, C., (2017), Development of a Liquid Chromatography-High Resolution Mass Spectrometry Metabolomics Method with High Specificity for Metabolite Identification Using All Ion Fragmentation Acquisition. Analytical Chemistry, 89(15), 7933-7942, DOI: 10.1021/acs.analchem.7b00925.
  • Naz, S., Kolmert, J., Yang, M., Reinke, S., Kamleh, M., Snowden, S., Heyder, T., Levanen, B., Erle, D., Skold, C., Wheelock, A., (2017), Metabolomics analysis identifies sex-associated metabotypes of oxidative stress and the autotaxin-lysoPA axis in COPD. European Respiratory Journal, 49(6), article no.1602332, DOI: 10.1183/13993003.02322-2016.

Research Student Supervision

Associate Supervisor

  • Doctor of Philosphy: Multi-omics analysis of immune-metabolic blood responses of very preterm infants for improving diagnosis of late-onset sepsis
  • Master of Science (Chemistry),  Deriving statistical inference from the application of artificial neural networks to clinical metabolomics data
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