I like to ask awkard questions, such as "What does your model already know about the value of your planned experiments?"
My PhD research commenced at The University of Adelaide and was completed at the University of Melbourne with submission of my thesis for examination in December 2016. It relates to properties of models employed in describing biomolecular interactions studied with a flow-cell optical biosensor. This has led to the first methods for testing continuous-time linear switching systems for the property of global a priori identifiability. The presence of this property in a model indicates those experiments that may lead to unique parameter estimates, whilst its absence shows those which certainly cannot.
Past positions include:
Research associate in the School of Mathematical Sciences,The University of Adelaide. The position related to the modelling of water resources. Achievements included the development of novel time series models and methods for discriminating between alternative models producing similar predictions according to one measure of goodness of fit.
A short term position working on computational aspects of within-host malaria modelling with the Centre for Epidemiology and Biostatistics, School of Population and Global Health, University of Melbourne.
Technical Editor of the ANZIAM Journal working under the direction of Professor Charles Pearce, School of Mathematical Sciences, The University of Adelaide.
linear switching systems
Modelling of biological and environmental systems
Ph.D. (School of Mathematics and Statistics, Melbourne)
Whyte, J. M.
(2019). An introduction to the testing of model structures for global a priori identifiability (with examples drawn from Plasmodium falciparum malaria modelling). Influencing Public Health Policy with Data-informed Mathematical Models.