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Julià Camps awarded EPSRC Doctoral Prize


Julià Camps has been awarded an EPSRC Doctoral Prize to increase the impact of his DPhil, entitled Bayesian inference and Machine learning methods for the advanced analysis of electrocardiographic signals. This prize includes nine months of salary for Julià to stay as a postdoctoral researcher in the Computational Cardiovascular research group at the University of Oxford. 

Julià Camps’ DPhil research project is a multidisciplinary project combining Artificial Intelligence with Computational Cardiac Electrophysiology. Specifically, his main aim has been to develop a cardiac digital twin generation pipeline that only considers routinely acquired clinical data modalities, such as cardiac magnetic resonance imaging and electrocardiogram. 

To tackle this problem, in the first part of his DPhil, he developed an electrocardiogram delineation methodology to automatically extract QRS complexes from clinical recordings and a fast phenomenological (Eikonal) model for conducting fast electrophysiological simulations of the human heart. Next, he developed a novel Bayesian-based inference methodology for the inference of the parameters in these phenomenological models.

These investigations were accepted in the journal Medical Image Analysis showing an application to a cohort of twenty virtual subjects with physiological variability to enable quantifying the accuracy of the inference approach. The main aim of the research during the EPSRC PhD Prize will be to apply the computational methodologies developed during Julià’s DPhil to the clinical domain.