Tom’s research focuses on understanding how neural control of movement is altered by injury, and how this knowledge can be used to improve recovery in conditions such as stroke, cerebral palsy, and Parkinson’s disease. His work is motivated by translating insights from activity-dependent synaptic plasticity into clinically meaningful applications in humans.
Tom’s research is inherently interdisciplinary, spanning neurophysiology, data science, and engineering. Tom has developed expertise in computational and statistical analysis of complex physiological datasets, supported by formal training in data science and experience applying these methods to real-world healthcare problems.
Research projects that Tom has been involved in
Rehabilitation
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