|University College London
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Seymour joined UCL after completing his MRes in Biomedical Science from the University of Glasgow in 2018. During the MRes he investigated changes in gene expression induced by NUP98-HOXA9 oncogene prominent in leukaemia and the effects of palmitoylation on signalling pathways in Parkinson’s disease and cardiac ischemia. This experience sparked his interest in developing technology to enhance medical research. Seymour also holds a MSc in Biomedical Engineering from the University of Strathclyde and BEng in Electronics and Telecommunications from the University of Mumbai.
Seymour’s research is focused on using machine learning to investigate the imaging signature of drug resistance in epilepsy. This will provide early diagnosis and offer alternative personalised treatments to such patients. Seymour will also analyse the genetic profile to understand what factors are responsible for the disruption of neuronal signalling pathways and connectivity of the brain in epilepsy and propose alternative novel drug targets to patients who are currently drug resistant.