Tom Walker fully funded PhD: iTrend Project

Machine learning, automatic modelling and control system identification in complex physiological systems

This PhD will bridge the gap between the data repository and the experimental programme. In particular, the student will apply evolutionary machine learning techniques to identify individualised models of the patients’ baroreflex (autonomous nervous system control of heart and peripheral blood system maintained by the nervous system).

The models developed will allow simulation of individuals and associated effects of hemodialysis on them, as well as giving a novel and unique ‘fingerprint’ to identify physical degradation due to the treatment and progression of disease.