
John Worrall is currently a PhD candidate at the School of Mathematics and Statistics, QUT. As a Mathematics and Spatial graduate, his interests are in mathematical modelling involving uncertainty. Particularly how dynamic systems and their connections with probability and statistical inference can help our understanding in providing inform decision making. John’s PhD research focuses on investigating computation Bayesian methods and machine learning approaches for Hawkes processes. With over 12 years industry experience as an Analyst using automation to minimise cost, time, error and resources used. John hopes to continue utilising technologies such as cloud computing, containers and CI/CD practices to develop models in a scalable, reproducible and cost-effective manner.