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Scheme : Discovery Projects
Field of Research : Biological mathematics
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  • Researchers (32)
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP230100025

    Funder
    Australian Research Council
    Funding Amount
    $586,000.00
    Summary
    New mathematical approaches to learn the equations of life from noisy data. New mathematical models and mathematical modelling methods must be continually developed to interpret emerging biotechnology experiments. Contemporary research in tissue engineering involves growing tissues on 3d-printed scaffolds to mimic constrained in vivo geometries. Previous mathematical models of tissue growth focus on computationally expensive discrete mathematical models that are poorly suited for parameter infe .... New mathematical approaches to learn the equations of life from noisy data. New mathematical models and mathematical modelling methods must be continually developed to interpret emerging biotechnology experiments. Contemporary research in tissue engineering involves growing tissues on 3d-printed scaffolds to mimic constrained in vivo geometries. Previous mathematical models of tissue growth focus on computationally expensive discrete mathematical models that are poorly suited for parameter inference and experimental design. This project will deliver and deploy high-fidelity, computationally efficient moving boundary continuum mathematical models that will: (i) predict/interpret new experiments, (ii) provide quantitative insight into biological mechanisms, and (iii) enable reproducible experimental design.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP230101113

    Funder
    Australian Research Council
    Funding Amount
    $385,000.00
    Summary
    Biophysics of the brain’s waste disposal system: Understanding why we sleep. This project aims to develop a new biophysical model of the brain, founded on the recently discovered glymphatic system responsible for waste disposal during sleep. It sets out to formulate, analyse, and validate rigorous new multiscale quantitative modelling – to advance the study of sleep and brain clearance dynamics, at timescales from hours to decades. Among expected outcomes are powerful models ready for applicatio .... Biophysics of the brain’s waste disposal system: Understanding why we sleep. This project aims to develop a new biophysical model of the brain, founded on the recently discovered glymphatic system responsible for waste disposal during sleep. It sets out to formulate, analyse, and validate rigorous new multiscale quantitative modelling – to advance the study of sleep and brain clearance dynamics, at timescales from hours to decades. Among expected outcomes are powerful models ready for application at both population and individual level, and testable predictions concerning the sleep patterns that lead to aggregation of waste in the brain and eventual cognitive decline. Project outcomes should also benefit society and the economy though translation into interventions for sleep disturbance – in future applied research.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP230100485

    Funder
    Australian Research Council
    Funding Amount
    $423,000.00
    Summary
    Unpacking the immune system with applied mathematics. This project aims to model immune interactions across cells and structures spanning scales of nanometres to millimetres. It expects to develop innovative mathematical insights, improve our understanding of immunology, and consolidate collaborations with top American and European laboratories and groups. Expected outcomes include cutting-edge techniques for multiscale biological modelling and improved prediction and analysis of immune dynami .... Unpacking the immune system with applied mathematics. This project aims to model immune interactions across cells and structures spanning scales of nanometres to millimetres. It expects to develop innovative mathematical insights, improve our understanding of immunology, and consolidate collaborations with top American and European laboratories and groups. Expected outcomes include cutting-edge techniques for multiscale biological modelling and improved prediction and analysis of immune dynamics. The project should provide benefits to industries where highly organised behaviours are important, for example those interested in robot swarming, optimal transportation, and epidemic management. It should also benefit Australian students and researchers with novel overseas training opportunities.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP230100135

    Funder
    Australian Research Council
    Funding Amount
    $599,000.00
    Summary
    Identifying how cortical bone microstructure deteriorates with age. This project aims to define the disruptions responsible for the gradual weakening of the skeleton in ageing by integrating a range of high-resolution imaging, biomechanical, and computational methods. The expected significance of this project includes a full definition and comparison of the cellular and subcellular organisation of bone from young and elderly individuals. Expected outcomes of this international project include th .... Identifying how cortical bone microstructure deteriorates with age. This project aims to define the disruptions responsible for the gradual weakening of the skeleton in ageing by integrating a range of high-resolution imaging, biomechanical, and computational methods. The expected significance of this project includes a full definition and comparison of the cellular and subcellular organisation of bone from young and elderly individuals. Expected outcomes of this international project include the establishment of a new multidisciplinary research team, and the development of a new data-driven theoretical framework for understanding the nature and the causes of age-related bone fragility. Potential long-term benefits include new ways to treat age-related osteoporosis.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP230100406

    Funder
    Australian Research Council
    Funding Amount
    $441,000.00
    Summary
    Understanding the mechanisms that inhibit and promote biofilm expansion. Yeasts have been used for biotechnology throughout recorded history. They are important human pathogens, and major experimental models of eukaryotic cells. Although yeasts are some of the most studied organisms in biology, their modes of colony biofilm formation are not fully understood. Methods to investigate the environmental and genetic processes that drive colony biofilm formation will be developed in this proposed pro .... Understanding the mechanisms that inhibit and promote biofilm expansion. Yeasts have been used for biotechnology throughout recorded history. They are important human pathogens, and major experimental models of eukaryotic cells. Although yeasts are some of the most studied organisms in biology, their modes of colony biofilm formation are not fully understood. Methods to investigate the environmental and genetic processes that drive colony biofilm formation will be developed in this proposed project. They will provide a deeper understanding of the mechanisms that inhibit and promote biofilm formation, and colonial morphology in the different modes of growth of Saccharomyces cerevisiae, with implications for this and other biofilm-forming yeasts of biotechnological or medical importance.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP230100380

    Funder
    Australian Research Council
    Funding Amount
    $477,000.00
    Summary
    Mathematical models to connect experiments across biological scales. Understanding the function and development of organs is crucial to our understanding of fundamental biology. This project aims to address our inability to connect and understand behaviour between simple and complex biological experiments. This project expects to develop new mathematical theory and models to connect experiments across scales and complexity. Expected outcomes of this project include a new mathematical modelling f .... Mathematical models to connect experiments across biological scales. Understanding the function and development of organs is crucial to our understanding of fundamental biology. This project aims to address our inability to connect and understand behaviour between simple and complex biological experiments. This project expects to develop new mathematical theory and models to connect experiments across scales and complexity. Expected outcomes of this project include a new mathematical modelling framework, and advances in understanding in both biology and mathematics. This should provide significant benefits as using mathematical modelling to understand experimental connections will decrease the time- and financial- costs of performing experiments, while increasing efficiency and insight.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP240102286

    Funder
    Australian Research Council
    Funding Amount
    $424,283.00
    Summary
    Optimising disease surveillance to support decision-making. COVID-19 has demonstrated the critical role of epidemic data and analytics in guiding government response to pandemic threats, reducing disease and saving lives. The demand for epidemic analytics for response to threats of national significance will only grow. The goals of this project are to 1) determine the combination(s) of surveillance methods that provide the most useful data for epidemic analysis and 2) translate these findings in .... Optimising disease surveillance to support decision-making. COVID-19 has demonstrated the critical role of epidemic data and analytics in guiding government response to pandemic threats, reducing disease and saving lives. The demand for epidemic analytics for response to threats of national significance will only grow. The goals of this project are to 1) determine the combination(s) of surveillance methods that provide the most useful data for epidemic analysis and 2) translate these findings into the blueprint for a next-generation infectious disease surveillance system for Australia. We will use a simulation-evaluation approach, coupling methods from infectious disease modelling with those from information theory optimal design. Outcomes will enable more tailored and effective pandemic response.
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    Showing 1-7 of 7 Funded Activites

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