computational modelling of fMRI data; mathematical modelling; theory development; machine learning; behavioural economics; ecology and evolution;

Developing and testing models of reward and choice using modelling and fMRI. 

My research triangulates between applied mathematics, computational biology and theoretical neuroscience. The central motivation of my PhD project is to understand and develop fundamental theory for learning and control in biological agents subject to normative constraints from physiology and evolution.