ICARUS Integrated Clinical-Computational Affective Research Unit 

Neuro-computational approaches to mood instability and reward dysregulation

To investigate the recursive cycles by which mood biases reward perception, we combine Reinforcement Learning and Bayesian inference frameworks with smartphone-based cognitive tasks and monitoring. Utilises a smartphone app for the cognitive science of happiness (Happiness Project: https://www.fil.ion.ucl.ac.uk/news-item/new-app-designed-to-help-scientists-figure-out-what-determines-happiness-though-fun-games/), led by Robb Rutledge (Yale University) which has over 15,000 users and has already been adopted by many clinical studies worldwide.

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Tracking bipolar mood and decision-making longitudinally (BIMODAL)