Imperial College London

Dr Gonçalo dos Santos Correia

Faculty of MedicineDepartment of Metabolism, Digestion and Reproduction

Research Associate







Sir Alexander Fleming BuildingSouth Kensington Campus





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.



Sands C, Wolfer A, DS Correia G, et al., 2019, The nPYc-Toolbox, a Python module for the pre-processing, quality-control, and analysis of metabolic profiling datasets, Bioinformatics, Vol:35, ISSN:1367-4803, Pages:5359-5360

Inglese P, Correia G, Pruski P, et al., 2019, Colocalization features for classification of tumors using desorption electrospray ionization mass spectrometry imaging, Analytical Chemistry, Vol:91, ISSN:0003-2700, Pages:6530-6540

Inglese P, Correia G, Takats Z, et al., 2019, SPUTNIK: an R package for filtering of spatially related peaks in mass spectrometry imaging data, Bioinformatics, Vol:35, ISSN:1367-4803, Pages:178-180

Chekmeneva E, Dos Santos Correia G, Gomez Romero M, et al., 2018, Ultra performance liquid chromatography-high resolution mass spectrometry and direct infusion-high resolution mass spectrometry for combined exploratory and targeted metabolic profiling of human urine, Journal of Proteome Research, Vol:17, ISSN:1535-3893, Pages:3492-3502

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