I am Trina Mukherjee, a second-year medical student (MB BCh BAO) at the Queen’s University Belfast. I have a strong academic interest in neurology and neuroscience, particularly in understanding the complex neural mechanisms underlying brain function, neurological disease, and disorders of neural networks. I am especially interested in the application of artificial intelligence, computational modelling, and advanced data analytics to medicine, with the aim of improving neurological diagnosis, disease prediction, clinical decision-making, and the development of personalised therapeutic interventions. As a future medical practitioner in the age of AI, my ambition is to contribute to technologies that improve the understanding, detection and treatment of neurological disorders.

I developed the initial concept and simulation demo for NeuronScout™, a research tool that models seizure propagation from intracranial EEG data made available from the OpenNeuro datasets. NeuronScout™ models seizure propagation using a multivariate Hawkes process fitted to EEG signals. The platform identifies driver channels associated with the seizure onset zone, distinguishes them from passive propagation pathways, and generates a real-time seizure hazard signal for closed-loop stimulation. It also estimates the network’s branching ratio to quantify how close seizure activity is to becoming self-sustaining. NeuronScout™ is aimed at supporting pre-surgical planning by helping neurosurgeons localise the seizure onset zone and map seizure propagation pathways, enabling more precise and tissue-sparing surgical decisions.

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If you are interested in contacting me for NeuronScout™ or collaborating, please drop me a line at: tmukherjee01@qub.ac.uk  

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