Navigating tipping points in complex dynamical systems. This project aims to use applied mathematics to investigate the onset of tipping points in dynamical systems. Working with clinicians and practicing engineers, the project aims to contribute to the development of new treatment regimes for dynamical diseases and develop improved management strategies for resource focussed engineering industries. This should provide significant benefit to many areas, including the personalised treatment of di ....Navigating tipping points in complex dynamical systems. This project aims to use applied mathematics to investigate the onset of tipping points in dynamical systems. Working with clinicians and practicing engineers, the project aims to contribute to the development of new treatment regimes for dynamical diseases and develop improved management strategies for resource focussed engineering industries. This should provide significant benefit to many areas, including the personalised treatment of disease.Read moreRead less
Development and validation of virtual epithelial cancer models using an integrated modelling and experimental three-dimensional approach. The mathematical and experimental modelling of the human prostate and ovary applying quantitative bioengineering concepts will lead to virtual cancer models. This project aims to validate these multi-scale models to delineate biological and pathological avenues in healthy and disease tissue and improve prevention and treatment of prostate and ovarian cancer.
Australian Laureate Fellowships - Grant ID: FL110100003
Funder
Australian Research Council
Funding Amount
$1,814,346.00
Summary
New directions, new problems and new data types in statistical science. Statistically challenging problems today involve answering many more questions than we have data. Solving them will elucidate the causes of diseases such as cancer, and provide better security for the community. The project will develop new methods for tackling these challenging problems, taking statistical science in new directions.
The Systems Biochemistry of Adaptation in Cellular Protein Networks. A living cell must process and interpret a host of diverse signals using a complex network of interacting proteins inside the cell. The detailed molecular mechanisms by which cells exhibit adaptation to these signals remains a fundamental question in biology. This project aims to develop a novel mathematical framework for analysing the capacity of intracellular protein interactions to contribute to cellular adaptation, along ....The Systems Biochemistry of Adaptation in Cellular Protein Networks. A living cell must process and interpret a host of diverse signals using a complex network of interacting proteins inside the cell. The detailed molecular mechanisms by which cells exhibit adaptation to these signals remains a fundamental question in biology. This project aims to develop a novel mathematical framework for analysing the capacity of intracellular protein interactions to contribute to cellular adaptation, along with a novel methodology for validating mathematical models against experimental data. These innovations offer a completely fresh approach to identifying and modulating the adaptive capacities of living cells, which may contribute to overcoming the problem of drug resistance in future therapeutic development.
Read moreRead less
Vertically integrated statistical modelling in multi-layered omics studies. This project will develop an adaptive statistical modelling framework that uses information from many omics data to discover a collection of stable and clinically significant biomarkers. Results will enable researchers to better understand the underlying biological system of complex diseases such as cancer, Alzheimer and diabetes.
Nonparametric data analysis in statistical science. Changes in technology have enabled new types of data to be collected, often more complex and in much larger quantities than ever before, and altered fundamentally the types of questions that need to be asked of those data. The research program will develop new statistical methods for analysing new types of data, for example functional data and data with many dimensions, and will also introduce greatly improved solutions to problems that involve ....Nonparametric data analysis in statistical science. Changes in technology have enabled new types of data to be collected, often more complex and in much larger quantities than ever before, and altered fundamentally the types of questions that need to be asked of those data. The research program will develop new statistical methods for analysing new types of data, for example functional data and data with many dimensions, and will also introduce greatly improved solutions to problems that involve more conventional data types. These techniques will have critical applications to diverse fields. The program will contribute substantially to capacity building in a strategically important area, statistical science, of great value to Australia but where chronic skills shortages exist.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
Prognosis based network-type feature extraction for complex biological data. This project aims to develop statistical tools that integrate high-throughput molecular data with biological knowledge to make discoveries in complex diseases. This project uses machine learning methods, statistical models and proteomic platforms to identify relationships among clinico-pathologic and molecular measurements. It will produce tools and insights that are intended to accelerate the process of biologically an ....Prognosis based network-type feature extraction for complex biological data. This project aims to develop statistical tools that integrate high-throughput molecular data with biological knowledge to make discoveries in complex diseases. This project uses machine learning methods, statistical models and proteomic platforms to identify relationships among clinico-pathologic and molecular measurements. It will produce tools and insights that are intended to accelerate the process of biologically and clinically significant discoveries in biomedical research. This project will help Australian researchers in statistics and users of statistics (from fields as diverse as biology, ecology, medicine, finance, agriculture and the social sciences) to make better predictions that are easier to understand.Read moreRead less
Stochastic populations: theory and applications. The project aims to study models of evolution and cancer development. It will produce new mathematical results and open up new applications of advanced modern mathematical analysis that can be used by evolutionary biologists and cancer researchers, in particular for the understanding of radiation on cell motility.
Dissecting the mitochondrial pathway of apoptotic cell death. This research aims to identify each step in cell death regulation by the Bcl-2 family of proteins. Each step is a potential target for drugs that may help cancer cells die, or that may help normal cells such as heart and brain cells recover from damage.