Simon joined Prof. Zoltan Takats's research group in 2015 in the Division of Computational and Systems Medicine as a Research Associate in Microbial Populations and Metabonomics. He received his BSc (2011) and PhD (2015) from Aberystwyth University, Wales, UK.
Simon's research interests are in the intersection between microbial ecology and metabolomics/metabonomics. With a focus on the human microbiome and its response to disease and stress, he uses microbial profiling techniques including 16S rRNA gene amplicon sequencing and metagenomics, and metabolome fingerprinting and profiling approaches. Before joining Imperial, his most recent research has focussed on the use of metabolome and microbiota profiling techniques to identify novel clinical biomarkers for lung cancer. He has also worked on the sputum microbiota found in patients with chronic obstructive pulmonary disease, the temporal variability of the salivary microbiome, and the response of the human microbiome and metabolome to extreme physiological and environmental stress.
At Imperial College London, Simon coordinates the work of the MicrobeID group at Charing Cross Hospital that is developing Rapid Evaporative Ionisation Mass Spectrometry (REIMS) as a tool for rapid clinical microbiology diagnostics. In addition to this work, Simon is involved in projects exploring the application of REIMS to a wide range of diagnostic and research areas.
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et al., 2019, Utilisation of Ambient Laser Desorption Ionisation Mass Spectrometry (ALDI-MS) improves lipid-based microbial species level identification, Scientific Reports, Vol:9, ISSN:2045-2322
Cameron SJ, Takáts Z, 2018, Mass spectrometry approaches to metabolic profiling of microbial communities within the human gastrointestinal tract, Methods, Vol:149, ISSN:1046-2023, Pages:13-24
et al., 2018, Lung cancer: a new frontier for microbiome research and clinical translation, Ecancermedicalscience, Vol:12, ISSN:1754-6605
et al., 2018, Metabolic phenotyping and strain characterisation of pseudomonas aeruginosa Isolates from cystic fibrosis patients using rapid evaporative ionisation mass spectrometry, Scientific Reports, Vol:8, ISSN:2045-2322
et al., 2018, Effect of electrode geometry on the classification performance of Rapid Evaporative Ionization Mass Spectrometric (REIMS) bacterial identification, Journal of the American Society for Mass Spectrometry, Vol:29, ISSN:1044-0305, Pages:26-33