My focus is on using and developing new statistical and computational methods that can help to solve complex problems in the real world. These problems are in the fields of environment, genetics, health and medicine, and industry. My research areas include Bayesian statistics, hierarchical modelling and complex systems. What’s best about my job? That I can work with a diverse range of people doing outstanding things in many different areas, and contribute expertise in an important component of their work: making the best use of their data to help them make better decisions.
ACEMS Deputy Director Kerrie Mengersen is leading a team of researchers to try to save the jaguar population in Peru. Her project combines the use of statistics, mathematics, and virtual reality technology to help leaders make informed decisions about the threatened species, and the land it depends on.
Bayesian methods for modelling and analysis of data are now well established. However, as with many statistical methods, their applicability in the context ‘big data’ is still being explored. This project will consider four questions that relate to ‘scalable Bayes’, that is, Bayesian models and computational methods that scale up to big data problems.
This project links to a number of other projects across the Centre.
Prizes, awards and special recognition
Distinguished Professor was awarded to Kerrie Mengersen. Awarded from the Queensland University of Technology.
Research Excellence Award was awarded to Kerrie Mengersen. Awarded from the Cooperative Research Centre for Spatial Information.