Algorithmic predictions of health and behaviour

Overarching Aim: Develop local expertise in data-driven algorithms of health and behaviour, which emphasises the integration and interpretation of data streams from cognitive, behavioural and physiological assessments.

Approach: Utilise existing datasets and apply machine learning and artificial intelligence to develop predictive algorithms of optimal cognitive, physical and mental wellbeing; understand influences to short-term (e.g., several months) and long-term (e.g., several years) variations in cognitive, physical and mental wellbeing.