I’m a statistician working at Queensland University of Technology on a range of environmental and environmental health problems such as jaguar conservation, reef conservation, and air pollution and its health impacts. In addition, I teach mathematics and statistics to first year science students.
My undergrad was in applied and computational mathematics, focussing on fluid dynamics in my honours year. Over time, I drifted towards Bayesian statistical modelling, where I use semi-parametric regression and hierarchical modelling for spatial, temporal, and spatio-temporal modelling.
Between 2010 and 2013 I was a PhD student at ILAQH under the supervision of Professors Lidia Morawska and Kerrie Mengersen and Dr Sama Low Choy. After graduating, I was employed as a Postdoctoral Fellow at ILAQH to support the research being done across a variety of topics in air quality. I still collaborate with my former colleagues on a variety of topics including occupational exposure, child health, atmospheric processes, exposure assessment, and instrumentation.
Modelling of biological and environmental systems
Semiparametric regression modelling
Bachelor of Applied Science (Honours) in Mathematics
Viral pathogens pose a continuous and shifting biological threat to military readiness and national security overall in the form of infectious disease with pandemic potential. Today’s limited vaccines and other antivirals are often circumvented by quickly mutating viruses that evolve to develop resistance to treatments that are carefully formulated to act only specific strains of a virus.
Enormous effort is invested in monitoring the Great Barrier Reef (GBR), but data collection is currently fragmented over dozens of publicly and privately funded organisations, with data collected using different methods and for different purposes. As a result, the data are rarely analysed together.
Invited talks, refereed proceedings and other conference outputs
Falk, M. G., Alston C. L., McGrory C. A., Clifford S., Heron E. A., Leonte D., et al.
(2015). Recent Bayesian approaches for spatial analysis of 2-D images with application to environmental modelling. Environmental and Ecological Statistics. 22(3), 571-600. doi: 10.1007/s10651-015-0311-1