Next generation high throughput lipidomics using adaptive modelling. This project aims to develop a unique high-throughput method to capture the lipidomic profile of human plasma suitable for large human population screening. Lipids are fundamental to every biological system, but our understanding of their regulation in humans have been largely superficial. By incorporating a new lipidomics approach, with genomic data, this project aims to expand our understanding of human biology by identifying ....Next generation high throughput lipidomics using adaptive modelling. This project aims to develop a unique high-throughput method to capture the lipidomic profile of human plasma suitable for large human population screening. Lipids are fundamental to every biological system, but our understanding of their regulation in humans have been largely superficial. By incorporating a new lipidomics approach, with genomic data, this project aims to expand our understanding of human biology by identifying regulators of lipid metabolism. The large diversity in humans necessitate sufficient sample sizes to identify true genetic regulators, but to date techniques capturing phenotypic data (lipids) have been largely limited. It is anticipated that this study will identify new regulators of lipid metabolism in humans.Read moreRead less
Accelerating pulse breeding using machine learning. Advances in genomics and high throughput phenotyping are generating vast quantities of data that can be applied for crop improvement, however the lack of computational analysis tools and approaches limits the full exploitation of this data. Pulse legumes are currently under utilised in Australian agriculture due to poor adaptation, however they offer significant benefits both for soil improvement and the production of high protein crops. This p ....Accelerating pulse breeding using machine learning. Advances in genomics and high throughput phenotyping are generating vast quantities of data that can be applied for crop improvement, however the lack of computational analysis tools and approaches limits the full exploitation of this data. Pulse legumes are currently under utilised in Australian agriculture due to poor adaptation, however they offer significant benefits both for soil improvement and the production of high protein crops. This project will develop machine learning (ML) tools for the analysis of pulse legume crop traits and their association with genomic variation to accelerate the breeding of high performance pulse legumes for Australian growers.Read moreRead less
Voids in molecular crystals: Novel computational approaches to their characterization, physicochemical nature, and influence on bulk properties. Key to the research objectives is further development of our own innovative software and techniques, now used by hundreds of researchers worldwide for the visualization and exploration of the structure and properties of molecular crystals. Through involvement of postdoctoral fellows and PhD students in an international collaborative research program inv ....Voids in molecular crystals: Novel computational approaches to their characterization, physicochemical nature, and influence on bulk properties. Key to the research objectives is further development of our own innovative software and techniques, now used by hundreds of researchers worldwide for the visualization and exploration of the structure and properties of molecular crystals. Through involvement of postdoctoral fellows and PhD students in an international collaborative research program involving a synergy between software development and visualization, and sophisticated modelling of the detailed nature of molecular crystals, the project contributes directly to producing researchers familiar with state-of-the-art theoretical and computational techniques, and well equipped to match the needs of one of the nation's articulated research priorities.Read moreRead less
Quantum chemical methods: From wavefunction to density functional theory. This project aims to address a major challenge in quantum chemistry - how to extend the applicability of high-level quantum chemical methods to larger molecules. High-level quantum chemical methods can consistently obtain reliable thermochemical and kinetic data, but due to their steep computational cost, they are only applicable to relatively small molecules. The project expects to introduce new concepts and methodologies ....Quantum chemical methods: From wavefunction to density functional theory. This project aims to address a major challenge in quantum chemistry - how to extend the applicability of high-level quantum chemical methods to larger molecules. High-level quantum chemical methods can consistently obtain reliable thermochemical and kinetic data, but due to their steep computational cost, they are only applicable to relatively small molecules. The project expects to introduce new concepts and methodologies that build on recent breakthrough research in the field of ab initio computational chemistry. The new methods should be capable of energetic predictions of unprecedented accuracy for relatively large systems across the Periodic Table and will be used for the development of better density functional theory procedures.Read moreRead less
Robust Reformulation Methods. Many decision problems in engineering, business and economics are modeled as nonlinear continuous optimization problems. Often these are made difficult by the existence of constraints. In this project, we reformulate such problems as constrained nonsmooth equations, rather than optimization problems, and develop generalized Newton and quasi-Newton methods for solving them. The expected outcomes of this project include a systematic theory of reformulation methods, ....Robust Reformulation Methods. Many decision problems in engineering, business and economics are modeled as nonlinear continuous optimization problems. Often these are made difficult by the existence of constraints. In this project, we reformulate such problems as constrained nonsmooth equations, rather than optimization problems, and develop generalized Newton and quasi-Newton methods for solving them. The expected outcomes of this project include a systematic theory of reformulation methods, and robust and efficient algorithms for solving some important nonlinear continuous optimization problems. There is high potential for applications in engineering, business and finance.Read moreRead less
Early Career Industry Fellowships - Grant ID: IE230100040
Funder
Australian Research Council
Funding Amount
$447,127.00
Summary
Unravelling the genetics of Kangaroo paws for climate-resilient gardens. The project will produce the first DNA-anchored plant lineage map of Kangaroo paws and gain novel insights into their resilient growth characteristics. Using novel genome and data-driven strategies, this project addresses the knowledge gap around the genetic heirloom of more than 200 iconic Kangaroo paw varieties to speed up the breeding of new varieties with enticing leaf patterns and flower colour combinations. While unra ....Unravelling the genetics of Kangaroo paws for climate-resilient gardens. The project will produce the first DNA-anchored plant lineage map of Kangaroo paws and gain novel insights into their resilient growth characteristics. Using novel genome and data-driven strategies, this project addresses the knowledge gap around the genetic heirloom of more than 200 iconic Kangaroo paw varieties to speed up the breeding of new varieties with enticing leaf patterns and flower colour combinations. While unravelling the inheritability and breeding barriers, immediate industry adoption will boost horticultural breeding programs long-term. This project uses cutting-edge science to enhance industry capacity for providing new Kangaroo paws for climate-resilient urban green spaces on the national and international market.Read moreRead less
Simulation of ligand binding-induced conformational changes in biological systems. This project is focused on the development of a methodology that will allow using molecular dynamics simulations to study fundamental biochemical reactions. The benefits to the Australian community are two fold: i) the software developed will be made available to the whole scientific community through peer-reviewed publication. Australian researchers will have the possibility to exploit the software in advance thr ....Simulation of ligand binding-induced conformational changes in biological systems. This project is focused on the development of a methodology that will allow using molecular dynamics simulations to study fundamental biochemical reactions. The benefits to the Australian community are two fold: i) the software developed will be made available to the whole scientific community through peer-reviewed publication. Australian researchers will have the possibility to exploit the software in advance through collaborations with our research group. ii) During this collaboration Australian PhD students will have the opportunity to spend a few months overseas to learn about the most advanced computational techniques and interact with top researchers in the computational chemistry field.Read moreRead less
Modelling the structure of Australian wool auction prices. Australian wool auction ($3.5-4 billions per year) is an on-going process. The prices paid in this auction market are used by the Australian production and service sectors to identify the quality preferences the international retail markets and the intermediate processors. The proposed research will optimise the information that can be extracted and used by these sectors in the production and distribution of the raw wool clip. A two- ....Modelling the structure of Australian wool auction prices. Australian wool auction ($3.5-4 billions per year) is an on-going process. The prices paid in this auction market are used by the Australian production and service sectors to identify the quality preferences the international retail markets and the intermediate processors. The proposed research will optimise the information that can be extracted and used by these sectors in the production and distribution of the raw wool clip. A two-stages algorithm in tree-based regression will be developed. The project will provide a challenge environment to train a Ph.D. student in agriculture modelling and optimisation.Read moreRead less
Learning to predict polymorphism through simulation of nucleation and nanoparticle evolution. Many substances are capable of exhibiting a myriad of different structures despite having the same composition. This behaviour can have a significant impact on the production of new pharmaceuticals, since the sudden appearance of a new form can lead to instant withdrawal of the drug. By understanding how different forms grow, rather than focusing on just the stability of the product, this research will ....Learning to predict polymorphism through simulation of nucleation and nanoparticle evolution. Many substances are capable of exhibiting a myriad of different structures despite having the same composition. This behaviour can have a significant impact on the production of new pharmaceuticals, since the sudden appearance of a new form can lead to instant withdrawal of the drug. By understanding how different forms grow, rather than focusing on just the stability of the product, this research will lead to more reliable prediction of how pharmaceutical molecules might assemble. The same technology will potentially have impacts in many areas of nanoscience through improvements in efficiency, including the production of minerals, desalination and undersea gas recovery.Read moreRead less
Unique Chemistry from Radioactive Decay in the Solid-State. Australia is an important member of the international nuclear fuel cycle. It holds one-third of the world's uranium reserves and is a major player in the development of technology for immobilizing radioactive waste. We will use computer simulation to answer a very important question which is extremely difficult to study experimentally: How does radioactive decay inside a solid change the chemistry of the material over time? Not only wil ....Unique Chemistry from Radioactive Decay in the Solid-State. Australia is an important member of the international nuclear fuel cycle. It holds one-third of the world's uranium reserves and is a major player in the development of technology for immobilizing radioactive waste. We will use computer simulation to answer a very important question which is extremely difficult to study experimentally: How does radioactive decay inside a solid change the chemistry of the material over time? Not only will our study improve nuclear waste storage, it will also reveal how in-situ chemical change creates new kinds of solids which cannot be made by conventional means. These solids can exhibit unusual and useful behaviour; this project provides the first investigation of this unexplored technological niche.Read moreRead less