Imperial College London

Dr Gonçalo dos Santos Correia

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Research Associate
 
 
 
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Contact

 

g.dos-santos-correia12

 
 
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Location

 

Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Summary

I am a post-doctoral bioinformatician at the Imperial College London Institute of Reproductive and Developmental Biology and its associated March of Dimes Prematurity Research Center. I am interested in understanding how host-microbe interactions and maternal and fetal metabolism impact pregnancy and reproductive health outcomes. In my research, I leverage statistical modeling and machine learning techniques to analyze and integrate multi-omic datasets collected from clinical samples, with the aim of identifying biomarkers and generating mechanistic hypotheses.

Previously, I was a Research Associate at the  Imperial MRC-NIHR National Phenone Centre (NPC) and at the Clinical Phenotyping Centre (CPC), where I developed bioinformatic workflows for the pre-processing and statistical analysis of metabolic profiling data (Nuclear magnetic resonance spectroscopy and mass spectrometry).

For some of my work, see the publication list below or checkout my personal github profile and the NPC Informatics team github profile.

Publications

Journals

Huang HX, Inglese P, Tang J, et al., 2024, Mass spectrometry imaging highlights dynamic patterns of lipid co-expression with Aβ plaques in mouse and human brains., J Neurochem

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

Mullish BH, Martinez Gili L, Chekmeneva E, 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

Correia GDS, Takis PG, Sands CJ, 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

Conference

MacIntyre DA, Pruski P, Correia G, et al., 2022, Rapid Assessment of Vaginal Microbiota Host Interactions During Pregnancy and Preterm Birth by Direct On-Swab Desorption Electrospray Ionization Mass Spectrometry, SPRINGER HEIDELBERG, Pages:53-53, ISSN:1933-7191

More Publications