Imperial College London

Dr Simon Cameron

Faculty of MedicineDepartment of Surgery & Cancer

Research Associate in Microbial Populations and Metabonomics



+44 (0)7905 164 134s.cameron




5L17Lab BlockCharing Cross Campus





Simon joined Prof. Zoltan Takat'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, under the supervision of Prof. Luis Mur.

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.

Simon's research interests are in the broad field of microbial ecology 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.

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Wilkinson TJ, Cowan AA, Vallin HE, et al., 2017, Characterization of the Microbiome along the Gastrointestinal Tract of Growing Turkeys, Frontiers in Microbiology, Vol:8, ISSN:1664-302X, Pages:1-11

Cameron SJS, Lewis KE, Huws SA, et al., 2017, A pilot study using metagenomic sequencing of the sputum microbiome suggests potential bacterial biomarkers for lung cancer, Plos One, Vol:12, ISSN:1932-6203

Cameron SJS, Lewis KE, Beckmann M, et al., 2016, The metabolomic detection of lung cancer biomarkers in sputum, Lung Cancer, Vol:94, ISSN:0169-5002, Pages:88-95

Cameron SJS, Lewis KE, Huws SA, et al., 2016, Metagenomic Sequencing of the Chronic Obstructive Pulmonary Disease Upper Bronchial Tract Microbiome Reveals Functional Changes Associated with Disease Severity, Plos One, Vol:11, ISSN:1932-6203

Cameron SJS, Bolt F, Perdones-Montero A, et al., 2016, Rapid Evaporative Ionisation Mass Spectrometry (REIMS) Provides Accurate Direct from Culture Species Identification within the Genus Candida, Scientific Reports, Vol:6, ISSN:2045-2322

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