Mathematics & Statistics in the Biosciences People

• Numerical models of the pelagic ecosystem off the NSW coast
• Nutrient uptake and energy dissipation on coral reef flats
• Effects of microalgal shape on light capture.

• Nonlinear dynamics of communication between cardiac pacemaker cells, as well as their response to external stimulation
• Unified mathematical model of the electrophysiology of charophytes (brackish water plants)
• Dynamics of the movement of glucose transporters in adipocyte (fat) cells and the role of insulin in their expression

• Analysis of time series arising in public health with particular focus on assessing the impacts of policy change and environmental and meteorological factors on disease outcomes.
• Statistics in risk assessment including those relating to alcohol use and syndromic surveillance.
• Analysis of microarray data in genetics

• Ocean circulation and its role in carbon uptake by the oceans
• Finding clues regarding natural versus anthropogenic species transfer

• Analysis of capture-recapture data

• Simulation and analysis of mathematical models in biology
• Tumour growth
• Pattern formation

• Multifractal scaling of neuron morphologies to identify age related characteristics
• Fractional reaction-diffusion equations as models for pattern formation in systems in which the diffusion is anomalous
• Modelling transport processes in inhomogeneous biological media ranging from molecular, cellular and network to whole organisms
• Analysis of neuronal signaling dynamics in inhomogeneous neural cables
• Methods of nonlinear dynamics to find evidence for low dimensional deterministic chaos in arterial blood pressure data, the first stage in attempting to identify a diagnostic for predisposition to chronic hypertension

• Feature selection for and classification of diseased tissue
• Statistical methods for flow cytometric data

• Nutrient supply processes in the coastal ocean
• Effects of nutrient supply on biological productivity (i.e. plankton production)
• Field observations and numerical modelling for the Great Barrier Reef, New South Wales and Antarctic waters

• Immune system dynamics
• HIV, hepatitis B and C
• Epidemiology
• Cancer chemotherapy
• Dynamics of drug resistance

• Analysis of gene expression data from microarray experiments

• Using wavelets for detecting patterns in DNA sequence analysis and data
• Compression of microarray images
• Errors-in-variables models (describing data when there is measurement error in the predictor variables)

• Extreme value theory in the environment (extreme rainfall, wind speeds, tidal surges, droughts, hurricanes, earthquakes etc.)
• Biostatistics of genetic-based data
• Disease/trait gene mapping on genealogies
• DNA-based analysis of phylogenetic trees
• Issues involved in genetical database searches.

• Evolutionary processes, including biological evolution
• Species-area relationships, self-organised criticality, diversity evolution and complexity evolution

• Statistics in environmental health
• Statistical methods for flow cytometric data

• Allometry (how one size variable scales against another)
• Analysis of multivariate abundance data from ecological communities