I have a strong passion for brain and behaviour, perceptual and cognitive processes and how these are influenced by biological underpinning mechanisms. My PhD Research was modelling spatiotemporal EEG and ERP brain data for dynamic pattern recognition and brain state prediction using a brain-inspired artificial intelligence technique. Currently, I am the Associate Investigator of the project (Catalyst Strategic - New Zealand Singapore Data Science Research Programme), funded by over $2.2m by New Zealand’s MBIE (Ministry of Business, Innovation and Employment). The aim of this project is the prediction of mental illnesses in youth population and to suggest proper interventions with respect to abundant behavioural, cognitive, neuroimaging, molecular and genetic datasets. So far, my research has been illustrated in several case studies such as: - Mental health and well-being, to predict response to treatment for patients before mindfulness intervention is applied. - Neuromarketing, developing a model of consumers’ behaviour for detection and prediction of preferences, decisions and choice behaviour. My work has contributed to me being awarded the Global Young Scientist; Outstanding Doctoral Award; Dean’s Award of Excellence; and three Best International Paper Awards.