Research in statistics involves collecting, modelling and analysing data to draw conclusions, inform decision-making, solve problems and direct business development.
Statistics plays a vital role in the development and practice of modern science. Biology, for example, is now highly quantitative, and critically dependent on the mathematical, physical and computer sciences; while biostatistics is central to the development and practice of modern medicine. Indeed, without the biostatistical principles underlying clinical trials and epidemiological studies, the pharmaceutical industry would not exist. Based within the School of Mathematical Sciences, our Statistics research group is particularly focused on statistical bioinformatics.
Our research has led to many important real-word discoveries and advances. Recent highlights include:
- showing that Aboriginal Australians’ cultural connection to country is strongly supported by genetic data
- advising the South Australian Electoral Districts Boundaries Commission .
We are available to advise or lead public- and private-sector data modelling and analysis projects in genomics, proteomics and systems biology.
We have expertise across a wide range of areas. Many of our researchers are available to assist with research project supervision for Master of Philosophy and Doctor of Philosophy students.
Research team Expertise Adam (Ben) Rohrlach Population genetics; Phylogenetics; Biofinformatics Dr Simon (Jono) Tuke Biostatistics; Bioinformatics; Network analysis Dr Melissa Humphries Mathematical psychology; Longitudinal data; Bayesian statistics Dr Sharon Lee Dr Shenal Dedduwakamara Dr John Maclean
To enquire about consulting or working with us on a research project, please contact our lead researcher within the School of Mathematical Sciences:
Dr Simon (Jono) Tuke - Lecturer, School of Mathematical Sciences