Ryan is a mechanical engineer with a diverse background in machine learning, biomechanics, research and development, and pipeline and pressure vessel consultancy. He is enthusiastic about using data to make decisions under uncertainty.

Ryan is completing his his PhD under the supervision of Dr Aloke Phatak (Curtin), Prof Chris Aldrich (Curtin), and Prof Michael Small (UWA). He will be focusing on research in Theme 2: Support the Engineer. His PhD focuses on applying Bayesian methods to model component reliability using a combination of data and domain expert knowledge and combining the output of these models through a Bayesian Network to produce a measure of system reliability. The project focuses on overland conveyors.

So far, during his PhD, Ryan has completed two industry placements, the first with Roy Hill, where he scoped up the topic of his PhD, and the second with BHP, where he worked on modelling idler lifetime data to inform fixed time replacement policy. He is currently engaged in a second industry placement with Roy Hill, where he is analysing belt wear using functional data analysis.

Ryan's PhD proposal, Decision Support for Prognostics of Complex Systems: A Practical Approach Using Bayesian Networks , can be found at the link here;
"https://jira.maintenance.org.au/browse/PROJ-53" >https://jira.maintenance.org.au/browse/