Computationally examining how individuals learn the associative and causal relationships in the world as well as their role as an agent causing an event to occur, and its neural correlates.
I examine individual differences in casual learning, attention and decision-making, and their associated neural signals, particularly along the depression, anxiety and schizophrenia spectrum. I am interested in active inference and Bayesian models to understand the pathology of these psychological illnesses.
I was born and raised in Hong Kong. Whilst I obtained my undergraduate degree (in psychology, neuroscience and cognitive science; with first honours) at The University of Hong Kong, I worked at the Experimental Psychopathology Laboratory and Psychopathology, Affective Neuroscience & Decision Making Laboratory as a senior research assistant and laboratory coordinator at both labs.
I presented my poster at the Anxiety and Depression Association of America (ADAA) 39th Annual Conference 2019 in Chicago, titled ‘Can attentional training diminish fear generalization to prevent the emergence of anxiety problems and reduce anxiety symptoms?’.