Caroline Sands
Research Associate (Chemometrician)
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolCaroline Sands is a chemometrician and research associate with eight years' experience applying analytical chemistry, NMR/MS and advanced data science to metabolic phenotyping and biomarker discovery at Imperial College London. She holds a PhD in Metabolic Profiling and an MSc in Bioinformatics and Systems Biology, and combines hands-on method development (Python and MATLAB) with routine QC and statistical modelling for large patient and population cohorts. Her work spans method validation, coding for improved data quality, and translating complex spectral data into clinically meaningful diagnostics and prognostics. Caroline also trains others through specialised metabolic profiling courses and has published algorithms that enhance information recovery from NMR datasets — a signal of her practical focus on reproducible, interpretable results. Based in London, she brings a rare mix of wet-lab experience and computational rigor that helps bridge analytical chemistry and personalised medicine.
8 years of coding experience
2 years of employment as a software developer
Master’s Degree, MSc Bioinformatics and Systems Biology, Pass with Distinction, Master’s Degree, MSc Bioinformatics and Systems Biology, Pass with Distinction at Imperial College London
Github Skills (9)
profiling9
cross-validation5
correlation5
pls5
pca4
jupyter-notebook3
unit-test3
datasets2
python2
Programming languages (2)
Github contributions (5)
phenomecentre/npc-standard-project
Apr 2019 - Aug 2024
A set of standardised project descriptions and data for use in unit-tests and development.
Contributions:1 release, 6 pushes, 1 tag in 5 years 4 months
unit-test
phenomecentre/ISTOCSY
May 2018 - Mar 2026
Interactively explore the correlations between features in metabolomics datasets
Contributions:1 release, 8 PRs, 50 pushes in 7 years 10 months
correlationspectroscopy
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