Statistics and Bioinformatics Research

inms-about-study.jpg The Institute of Fundamental Sciences is home to some of Australasia’s leading researchers in statistics and quantitative genetics. Our research activities are broad, and include theoretical and computational statistics; statistical methods in epidemiology, geophysics and engineering; and bioinformatics and computational biology.

For more information about our research activity, select individual researchers' names below.

Our expertise

Statistical epidemiology

One of our strengths is spatio-temporal modelling of disease in humans and animals. This involves developments in statistical inference for epidemic models (including computational methods for model fitting, and model diagnostics); statistical smoothing methods (eg, to estimate risk functions over spatial regions), and the analysis of point processes. We collaborate with the Institute of Veterinary, Animal and Biomedical Sciences, the Hopkirk Research Institute and the Infectious Disease Research Centre.

Contact
Professor Martin Hazelton
A/Prof Geoff Jones
Dr Jonathan Marshall

Statistical engineering

We work on statistical problems in engineering, including traffic system modelling (including inference and optimisation), financial engineering (such as mitigation of market volatility), and industrial statistics (calibration, design of industrial experiment design, statistical process control, acceptance sampling, reliability and safety).

Contact
Professor Mark Bebbington
Dr Jonathan Godfrey
Dr Raj Govindaraju
Professor Martin Hazelton
A/Prof Geoff Jones
Professor Chin Diew Lai

Statistical seismology and volcanology

We work on statistical problems in geophysics, collaborating with Volcanic Risk Solutions volcanic.massey.ac.nz. Our focus is on the spatio-temporal estimation of hazard, especially from volcanoes or earthquakes, and the assessment of the risk. Major research projects are focussed on Mt Taranaki and the Auckland Volcanic Field, primarily in the development of stochastic models and their properties.

Contact
Professor Mark Bebbington
A/Prof Geoff Jones
Professor Chin Diew Lai

Computational biology

We work on problems in contemporary genomics: the study of an organism's entire complement of DNA. The ability to integrate new genetic technologies with sophisticated computational analysis is a bottleneck in advancing the biological sciences. We are leveraging national and international connections to address outstanding biological questions at the interface of genomics, computer science and statistics. In particular we are modelling genome dynamics: establishing how genetic variation is distributed within and between individuals, and determining how this diversity changes over evolutionary time.

Contact
Prof Murray Cox
Dr Pierre-Yves Dupont

Epidemic risk forecasting

The socioeconomic consequences of an infectious disease epidemic in livestock are potentially catastrophic. Swift and effective control and containment of epidemics remains a global top priority. We are developing state-of-the-art computational techniques in Bayesian statistics for risk prediction and forecasting for epidemics. This enables us to predict who is infected, where the disease will spread, and whether the current control strategy works. The results enable epidemic control authorities to eliminate disease with maximum efficiency.

Contact Dr Chris Jewell

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