☳ Neuroscience and Ageing Research
My research interests focus on the neuroscience of ageing, combining insights from biomedical sciences, exercise science, computational methods, and applied mathematics. This interdisciplinary effort facilitates a more comprehensive understanding of how age-related changes in brain structure and function are linked to cognitive decline. The findings contribute to the development of strategies to support cognitive health and reduce the risk of neurodegenerative conditions.
Biomedical Mechanisms of Brain Ageing
Focuses on the biological processes underlying brain ageing, with emphasis on cellular, molecular, and systemic mechanisms. Key factors include oxidative stress, neuroinflammation, cerebrovascular dysfunction, and glymphatic impairment, all contributing to age-related cognitive decline and neurodegenerative conditions such as Alzheimer’s disease.
Exercise Neuroscience and Cognitive Health
Examines the impact of physical activity on brain health and cognitive function in older adults. Considers the effects of structured exercise interventions, including aerobic training and resistance exercise, on neuroplasticity, executive function, mood, and sleep regulation. Integrates behavioural assessments, actigraphy, and neuroimaging to evaluate exercise as a non-pharmacological strategy for strengthening cognitive resilience and overall brain function in later life.
Computational Neuroscience and Neurotechnologies in Ageing
Applies computational methods and neurotechnological tools to investigate age-related changes in brain structure and function. Utilises multimodal datasets (e.g., MRI, EEG, actigraphy) and analytical techniques such as machine learning, signal processing, and network analysis to identify neural patterns, model trajectories of decline, and evaluate intervention effects.
Mathematical Neuroscience and Theoretical Modelling of Ageing
Develops mathematical models to represent and simulate the complex dynamics of brain ageing. Employs formal methods such as dynamical systems, graph theory, and probabilistic modelling to examine neural connectivity, physiological regulation, and cognitive trajectories. Grounded in empirical data from observational and interventional studies.
