Teresa finished her PhD in Neuroscience at University College London (London, UK) in 2016. Her research focused on improving the understanding of the relationship between two physiological signals - electrical field potentials recorded at the surface or deep inside the brain (EEG signal)) and the simultaneous, co-localised concentration of deoxyhemoglobin which was indirectly measured with functional magnetic resonance imaging (fMRI). She worked on many aspects of data analysis including: data cleaning, dimensionality reduction, improving signal-to-noise ratio, spectral and feature quantification, and development of multivariate regression models describing relationships between time-series. Teresa joined The National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI) in October 2017 to work on the analysis of matrix-assisted laser desorption/ionisation (MALDI) and desorption electrospray ionisation (DESI) mass spectrometry imaging, as part of the team leading the CRUK Grand Challenge on multiscale molecular mapping of cancer metabolism.
Teresa is currently interested in using unsupervised and supervised learning algorithms to analyse MALDI and DESI data with the aim of identifying and understanding the key points of cellular dysregulation leading to disease.