Karen’s PhD project deals with metabolomics, which is the large-scale study of small molecules, commonly known as metabolites. Collectively, these small molecules and their interactions within a biological system are known as the metabolome. Biomarker discovery through metabolic fingerprinting holds great potential for the identification of drug-resistant populations and rapid deployment of appropriate treatment regimens in neurological disorders. In the untargeted approach, chemical profiles of the biological samples, better known as fingerprints, will be generated with both UHPLC-QToF MS and CE-MS . Due to the complex nature of these fingerprints, multivariate data analysis will be required for the unbiased selection of candidate biomarker(s). Later in this project, methods will be developed to quantify and confirm presence of a potential biomarker in the context of targeted analyses.