Discovery Early Career Researcher Award - Grant ID: DE150101842
Funder
Australian Research Council
Funding Amount
$345,000.00
Summary
New mathematical models for capturing heterogeneity of human brain tissue. This project aims to understand the impact of the heterogeneity of brain tissue on Magnetic Resonance Imaging (MRI) data in both healthy and diseased human brains, and to extract and quantify information on heterogeneity from the data. The project aims to develop novel mathematical and computational approaches to model the heterogeneity of the human brain. The project aims to identify new biomarkers for classifying differ ....New mathematical models for capturing heterogeneity of human brain tissue. This project aims to understand the impact of the heterogeneity of brain tissue on Magnetic Resonance Imaging (MRI) data in both healthy and diseased human brains, and to extract and quantify information on heterogeneity from the data. The project aims to develop novel mathematical and computational approaches to model the heterogeneity of the human brain. The project aims to identify new biomarkers for classifying different brain diseases, based on the extent of heterogeneity across different brain tissue. Results will be validated against extensive MRI scanning data of patients. This project aims to advance state-of-the-art techniques in human brain MRI data analysis.Read moreRead less
Modelling interactions of spray droplets with plants. This project addresses the National Research Priority of an environmentally sustainable Australia by developing sophisticated mathematical models and interactive software that will identify environmentally friendlier technologies to efficiently deliver agrichemicals while minimising large scale water usage. National benefits will accrue from the provision for postdoctoral, PhD and IT staff training, while direct links with industry will provi ....Modelling interactions of spray droplets with plants. This project addresses the National Research Priority of an environmentally sustainable Australia by developing sophisticated mathematical models and interactive software that will identify environmentally friendlier technologies to efficiently deliver agrichemicals while minimising large scale water usage. National benefits will accrue from the provision for postdoctoral, PhD and IT staff training, while direct links with industry will provide technology transfer to end-users to ensure community uptake. The project will benefit rural and regional communities by providing long-term solutions in the areas of water use and quality, pesticide pollution reduction, and improved environment and human health care.Read moreRead less
Mechanisms of nerve fibre guidance by molecular gradients. Brain wiring is crucial for brain function. The project will investigate the basic principles underlying the development of brain wiring, using both experiments and mathematical models. This will lead a predictive model of how wiring develops, both in normal and abnormal situations.
Spatio-temporal modelling of Ras dependent MAP kinase activation. This project is at the heart of the national research priority 'Frontier Technologies for Building and Transforming Australian Industries'. Using cutting edge methods and techniques of systems biology, coupled with innovative experimental molecular cell biology we will construct and simulate mathematical models of the EGF-regulated MAP kinase pathway. The project will yield new insights into the fundamental mechanisms of cell sign ....Spatio-temporal modelling of Ras dependent MAP kinase activation. This project is at the heart of the national research priority 'Frontier Technologies for Building and Transforming Australian Industries'. Using cutting edge methods and techniques of systems biology, coupled with innovative experimental molecular cell biology we will construct and simulate mathematical models of the EGF-regulated MAP kinase pathway. The project will yield new insights into the fundamental mechanisms of cell signal transduction that drive cell division, differentiation and transformation and may enable the design of new anticancer therapies. Importantly, the modelling and simulation methods developed in the project will have a general applicability to other complex systems such as sustainable ecological systems.Read moreRead less
Mathematical modeling of multicellular organization of epithelial tissues. This project will use mathematical modelling and computer simulations to understand the dynamic organisation of epithelial tissues in close interaction with ongoing laboratory experiments. The key challenge is to develop a multi-scale modelling framework that is capable of bridging the gap between biochemical and biophysical sub-cellular processes, cell-cell interactions and the large scale multicellular properties of tis ....Mathematical modeling of multicellular organization of epithelial tissues. This project will use mathematical modelling and computer simulations to understand the dynamic organisation of epithelial tissues in close interaction with ongoing laboratory experiments. The key challenge is to develop a multi-scale modelling framework that is capable of bridging the gap between biochemical and biophysical sub-cellular processes, cell-cell interactions and the large scale multicellular properties of tissues composed of large cell populations. This will require the design of novel mathematical approximation techniques and application of high performance parallel computing technology specifically adapted for the description of multicellular systems. Read moreRead less
Scalable biocomputing on networks: design and mathematical foundations. This project aims to develop technology with the potential to disrupt computation by providing a way to solve combinatorial mathematical problems in an efficient manner. Electronic computers have revolutionised our lives over the last half-century, but there are tasks they can not do, usually those requiring multi-tasking, much as our brains do. This project aims to overcome some of these problems by physically using molecul ....Scalable biocomputing on networks: design and mathematical foundations. This project aims to develop technology with the potential to disrupt computation by providing a way to solve combinatorial mathematical problems in an efficient manner. Electronic computers have revolutionised our lives over the last half-century, but there are tasks they can not do, usually those requiring multi-tasking, much as our brains do. This project aims to overcome some of these problems by physically using molecular parts of living things moving within specially mathematically designed networks to solve, in parallel, "combinatorial" mathematical problems that vex traditional computers, while using far less energy than electronic devices. This project expects to develop this nascent field into a practically useful, disruptive technology based in Australia.Read moreRead less
The plasticity of neural codes. Information about the world is represented in the brain by the combined activity of populations of many neurons. However, the basic principles underlying how such population activity codes information are largely unknown. Using the map from the eye to the brain of the zebrafish as a model, the project aims to combine experimental measurements of neural activity with mathematical modelling in order to discover these basic principles. Of particular interest is how t ....The plasticity of neural codes. Information about the world is represented in the brain by the combined activity of populations of many neurons. However, the basic principles underlying how such population activity codes information are largely unknown. Using the map from the eye to the brain of the zebrafish as a model, the project aims to combine experimental measurements of neural activity with mathematical modelling in order to discover these basic principles. Of particular interest is how these coding principles change during development and their plasticity after disruptions to the visual map. Besides improving our understanding of how brains process information, the knowledge gained could help optimise the design of brain-computer interfaces and artificial computing devices.Read moreRead less