As a Consultant (Data Science), Matt supports the team by providing modelling and data analysis, as well as helping to research and develop new methods for transport modelling and analysis.

Matt has research experience in the transport planning sphere, having considered link-based travel route choice in his Honours Thesis. He has also explored travel mode choice, applying machine learning techniques to the problem as part of his VLC research project. Through the course of his undergraduate degree Matt developed expertise in model development, operations research, optimisation, and software development.

Matt holds a Bachelor of Mathematics with a minor in Computer Science and a Bachelor of Mathematics (Honours) with first class honours, both from the University of Queensland.