I am a Research Associate at the Imperial MRC-NIHR National Phenone Centre (NPC) and at the Clinical Phenotyping Centre (CPC).
My main research interests are in the development of bioinformatic workflows and pipelines for the pre-processing and analysis of metabolic profiling data (Nuclear magnetic resonance spectroscopy and mass spectrometry) and on the statistical data analysis of metabolic phenotyping dataset and other -omic datasets.
For some of my work, see the publication list below or checkout my personal github profile and the NPC Informatics team github profile.
Dos Santos Correia G, Marchesi J, MacIntyre D, 2023, Moving beyond DNA: towards functional analysis of the vaginal microbiome by non-sequencing-based methods, Current Opinion in Microbiology, Vol:73, ISSN:1369-5274, Pages:1-11
et al., 2022, Assessing the clinical value of faecal bile acid profiling to predict recurrence in primary Clostridioides difficile infection, Alimentary Pharmacology and Therapeutics, Vol:56, ISSN:0269-2813, Pages:1556-1569
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., 2021, Direct on-swab metabolic profiling of vaginal microbiome host interactions during pregnancy and preterm birth, Nature Communications, Vol:12, ISSN:2041-1723
et al., 2021, Statistical analysis in metabolic phenotyping, Nature Protocols, Vol:16, ISSN:1754-2189, Pages:4299-4326