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I am interested in the neural mechanisms underlying human decision making and learning under uncertainty (Neuroeconomics). Specifically, we combine ideas from a range of disciplines (psychology, neuroscience, engineering and economics) and use a variety of neuroimaging techniques to provide a spatiotemporal characterisation of reward and risk prediction errors, and how these signals are processed in social and non-social contexts. My PhD research employed a combination of economic games and fMRI to directly compare the neural networks representing social and non-social prediction errors in the human brain. We also used vision science techniques (e.g. retinotopic mapping) to investigate risk-reward predictions in primary visual areas.