12 Labours - Accelerating and accounting for uncertainties in personalised Physiome modelling workflows

The Auckland Bioengineering Institute (ABI) has recently received a grant from the New Zealand Ministry of Business, Innovation and Employment ( MBIE) to build computational physiological models of the human body that can be personalised and embed into clinical workflows for the diagnosis and treatment of a wide range of medical conditions. These 'Physiome' modelling workflows will be used both within a clinical setting and as part of home-based healthcare environments which make use of wearable or implantable devices. This work will build on decades of research in multiscale biophysical modelling, instrumentation development and experimental measurements by the ABI and its international collaborators.

The ABI is seeking applications from suitably qualified graduate students for a fully-funded PhD scholarship on developing clinical technologies to enable the automated application of these 'Physiome' modelling workflows in real-time. This will involve developing algorithms for accelerating computational modelling workflows (e.g. using dimension reduction and machine learning techniques) while accounting for uncertainties associated with clinical measurements and modelling approximations.

This project will contribute to and use common computational infrastructure for multiscale modelling and for the incorporation of these models into clinical workflows, following best practices in software development and data management and open science.