As head of the section of Bioanalytical Chemistry, I oversee a talented and diverse team of experts responsible for the development and application of novel analytical methodology for global profiling and targeted analysis of small molecules, peptides, lipids and proteins. Our principal application space includes human biofluids and tissue extracts as well as the animal models and cell cultures needed to explore disease mechanisms in greater depth. Our favoured technology platforms include nuclear magnetic resonance (NMR), liquid chromatography mass spectrometry (LC-MS) and LC-tandem mass spectrometry (LC-MS/MS). We are most active in the areas of:
- Analytical method development
- Technology development and refinement
- Data extraction and pre-processing workflows
- Data quality control and monitoring
- Metabolite assignment and identification including structure elucidation
Together we work closely with clinicians, epidemiologists, and basic science researchers at Imperial to provide innovative and reliable bioanalytical solutions for metabolomics, lipidomics, and proteomics.
As the Chief Operations Officer for the National Phenome Centre (NPC), I am responsible for operational management and delivery of a wide portfolio of research collaborations. Within the NPC, our focus is split between meeting the needs of high precision analysis demanded by large sample cohorts from molecular epidemiology studies, and those of studies involving smaller clinically derived cohorts analysed using both established and developing technologies.
et al., 2022, Evidence of altered fatty acid metabolism in dogs with naturally occurring valvular heart disease and congestive heart failure, Metabolomics, Vol:18, ISSN:1573-3882
et al., 2022, The gut microbiota and metabolome is associated with diminished COVID-19 vaccine-induced antibody responses in immunosuppressed inflammatory bowel disease patients
et al., 2022, 1H NMR Signals from urine excreted protein are a source of bias in probabilistic quotient normalization, Analytical Chemistry, Vol:94, ISSN:0003-2700, Pages:6919-6923
et al., 2022, Mass recalibration for desorption electrospray ionization mass spectrometry imaging using endogenous reference ions, Bmc Bioinformatics, Vol:23, ISSN:1471-2105, Pages:1-17
et al., 2022, Finding correspondence between metabolomic features in untargeted liquid chromatography-mass spectrometry metabolomics datasets., Analytical Chemistry, Vol:94, ISSN:0003-2700, Pages:5493-5503