Projects

My name is Charlotte Winter and the aim of my project was to improve post mortem submergence interval (PMSI) prediction by building on existing metabolomic approaches to develop a data-driven model using aquatic decomposition chemistry. In this study, I curated and extracted LC-ToF-MS metabolomic data, assessed missing data using QRILC and KNN imputation, and identified temporal metabolite trends across PMSI through normalisation and visualisation techniques. Principal Component Analysis (PCA) was applied to identify key metabolomic patterns, while Random Forest machine learning models were implemented to evaluate their potential for PMSI estimation.

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Type of employment sought
I have a strong interest in laboratory-based roles focused on biological, mark, and trace evidence analysis, including fingermark examination. Additionally, I am particularly interested in the data analysis and interpretation of biological results.

Areas available to work
Hampshire or the surrounding area.