About Tom:

I am currently undertaking a PhD in the Whelan lab, co-supervised by Dr Jane McGrath. After graduating with a BSc in Physics from the University of Kent, I subsequently obtained an MSc in Medical Imaging from the University of Dundee, with a focus on neuroimaging. My MSc research project employed computational modelling (FEM) of the current density produced in the brain during electroconvulsive therapy, to provide evidence for the efficacy of novel electrode placements with reduced cognitive side-effects. This introduced me to the potential of the employment of computational methods in Psychiatry in improving treatment outcomes and experiences for clinical populations.

My PhD research is centred around the design and production of a predictive model of individual response to methylphenidate treatment in ADHD. Having a diagnosis of ADHD myself, and a wealth of experience working with neurodevelopmental disorders in an educational context, I am highly motivated in developing precision medicine approaches to Psychiatry that have a direct clinical relevance. A dual theory and data-driven approach has been designed, combining the strengths of generative models in a mechanistic understanding of cognition with the powerful predictive capabilities of machine-learning. Such an approach will be applied to data acquired using novel low-density ‘dry’ EEG headsets in tandem with gamified neurocognitive testing delivered via tablet, facilitating the collection of ecologically valid data from participants remotely in the home.

 Personal interests include: Camping/Hiking; Cooking/Foraging; Consciousness and Science Fiction.