Michael is a M.Phil candidate in applied mathematics and statistics at the University of Adelaide, looking to understand and model patient flow in emergency departments. In completing undergraduate degrees with majors in Theoretical Physics, Applied Mathematics and Statistics Michael gained a passion and appreciation for both the beauty and wide utility of mathematics.
During his undergraduate degrees Michael took part in a wide range of research projects including analyses of data concerning social networks and the Large Hadron Collider, as well as projects looking into adaptive radiotherapy strategies, and developing statistical diagnostics for sepsis.
His M.Phil project is focused on using open data from emergency departments to build a real time predictive tool to forecast emergency department demand and performance.
Research Interests:
Bayesian networks
Healthcare Modelling
Operations Research
Optimisation
Statistical modelling
Qualifications:
Bachelor of Science (Adv.) (Theoretical Physics), University of Adelaide
Bachelor of Mathematical and Computer Sciences (Applied Mathematics & Statistics), University of Adelaide
