Genome evolution & adaptation of the multinuclear wheat stripe rust fungus. Animals and plants package their genomes into a single nucleus within each cell. In contrast, millions of fungal species accommodate multiple nuclei containing individual haploid genomes. It is currently unknown what the evolutionary implications are for this unusual genome division into multiple nuclei. Here we explore the evolutionary consequences of genome division into multiple nuclei for the first time by applying c ....Genome evolution & adaptation of the multinuclear wheat stripe rust fungus. Animals and plants package their genomes into a single nucleus within each cell. In contrast, millions of fungal species accommodate multiple nuclei containing individual haploid genomes. It is currently unknown what the evolutionary implications are for this unusual genome division into multiple nuclei. Here we explore the evolutionary consequences of genome division into multiple nuclei for the first time by applying cutting edge genome biology tools and algorithms. The economically significant study system is the devastating wheat stripe rust fungus. This pathogen costs Australian farmers over $100 million a year. New understanding is expected to lead to better disease management, reduced fungicide applications, and increased yields.Read moreRead less
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
Horizontal convection at ocean-relevant proportions. This project aims to determine the role of buoyancy differences from solar radiation and vertical confinement. Flows created by lateral variation in heat or buoyancy are poorly understood when the horizontal length greatly exceeds the height, precisely the conditions relevant to industry and understanding the role of horizontal convection in Earth's oceans and in turn the delicate current system that maintains Earth's temperate climate. This p ....Horizontal convection at ocean-relevant proportions. This project aims to determine the role of buoyancy differences from solar radiation and vertical confinement. Flows created by lateral variation in heat or buoyancy are poorly understood when the horizontal length greatly exceeds the height, precisely the conditions relevant to industry and understanding the role of horizontal convection in Earth's oceans and in turn the delicate current system that maintains Earth's temperate climate. This project proposes computational and experimental efforts to probe the ultimate regime of heat transport in very shallow horizontal convection, benefiting humankind through improvements to future ocean and climate modelling efforts.Read moreRead less
Gravity Current Driven Smoke Dispersion In a Stratified Ambient. Smoke from bushfires transported by gravity currents, and known to occur nationwide, caused the shutdown of businesses, education and events in Canberra in 2019. Recent scientific investigations have shown that the speed of propagation and concentration of smoke in these three-dimensional gravity currents have a long term ‘memory’ of their initial configuration. In this project, high-fidelity computational and experimental techniq ....Gravity Current Driven Smoke Dispersion In a Stratified Ambient. Smoke from bushfires transported by gravity currents, and known to occur nationwide, caused the shutdown of businesses, education and events in Canberra in 2019. Recent scientific investigations have shown that the speed of propagation and concentration of smoke in these three-dimensional gravity currents have a long term ‘memory’ of their initial configuration. In this project, high-fidelity computational and experimental techniques will be used to elucidate the fundamental mechanisms of gravity current entrainment and propagation. This knowledge will set a strong foundation to improve operational forecasts of smoke transport that will allow government agencies to better respond to the negative impact of these complicated flows.Read moreRead less
Integrating theory and data to model evolution under a changing climate. This project aims to develop an innovative approach that integrates diverse data sources, from genetic sequences to geographic distributions, to improve inference of evolutionary dynamics. This will provide a powerful and efficient new method for understanding species’ responses to climate change, demonstrated by inferring past, current and future climate adaptability in a diverse and ecologically important Australian plant ....Integrating theory and data to model evolution under a changing climate. This project aims to develop an innovative approach that integrates diverse data sources, from genetic sequences to geographic distributions, to improve inference of evolutionary dynamics. This will provide a powerful and efficient new method for understanding species’ responses to climate change, demonstrated by inferring past, current and future climate adaptability in a diverse and ecologically important Australian plant family. Expected outcomes include enrichment of evolutionary theory and software tools to assess species' vulnerability to climate change. These outcomes will bring significant benefits to improve knowledge and protection of Australian biota and maximise returns on Australia's investment in biodiversity databases.Read moreRead less
Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statis ....Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statistical methods provide the opportunity to close this gap. The outcome will be identification of many genomic variants causing variation in complex traits. This will benefit scientific understanding of complex traits and the ability to predict traits for individuals from their genome sequence.Read moreRead less
Approximation theory of structured neural networks . Mathematical theory for deep learning has been desired due to the power applications of deep neural networks to deal with big data in various practical domains. The main difficulty lies in the structures and architectures imposed to networks designed for specific learning tasks. Neither the classical approximation theory nor the recent one for depths of ReLU neural networks can be applied due to the structures imposed for processing large dime ....Approximation theory of structured neural networks . Mathematical theory for deep learning has been desired due to the power applications of deep neural networks to deal with big data in various practical domains. The main difficulty lies in the structures and architectures imposed to networks designed for specific learning tasks. Neither the classical approximation theory nor the recent one for depths of ReLU neural networks can be applied due to the structures imposed for processing large dimensional data such as natural images of tens of thousands of dimensions. This project aims at an approximation theory for structured neural networks. We plan to establish mathematical theories for deconvolution with deep convolutional neural networks, operator learning, and spectral graph networks. Read moreRead less
Large Scale Natural Convection Boundary Layers with Non-Boussinesq Effects. This proposal aims to understand and predict heat transfer by turbulent natural convection in two scenarios, firstly at very large environmental scales, such as occur on melting Antarctic ice sheets, and secondly convection involving very large temperature differences such as occur in solar thermal power plants and industrial processes. These natural convection flow regimes are incredibly difficult to investigate directl ....Large Scale Natural Convection Boundary Layers with Non-Boussinesq Effects. This proposal aims to understand and predict heat transfer by turbulent natural convection in two scenarios, firstly at very large environmental scales, such as occur on melting Antarctic ice sheets, and secondly convection involving very large temperature differences such as occur in solar thermal power plants and industrial processes. These natural convection flow regimes are incredibly difficult to investigate directly but by focusing on the fundamental dynamics of the turbulent flows using large scale numerical simulations and innovative experiments, the project is expected to develop better analytical and computational models which will underpin improvements in
global ocean models and improve energy efficiency.Read moreRead less
Human Scheduling of Perceptual Tasks. This project aims to develop a novel approach for synthesising how people prioritise information with theories of attention and decision making. Characterising inefficient scheduling in the tradeoff between the difficulty and the cost/benefit of different subtasks will allow the development of a formal computional model that generalises statistical models of rank order data to a theory of the timing of scheduling decisions and task completions. Outcomes incl ....Human Scheduling of Perceptual Tasks. This project aims to develop a novel approach for synthesising how people prioritise information with theories of attention and decision making. Characterising inefficient scheduling in the tradeoff between the difficulty and the cost/benefit of different subtasks will allow the development of a formal computional model that generalises statistical models of rank order data to a theory of the timing of scheduling decisions and task completions. Outcomes include benchmark data from a novel paradigm for studying perceptual decisions and behavior and a model which can explain and predict human scheduling. This project aims to benefit industry by allowing for the simulation of information prioritisation by human agents in complex environments.Read moreRead less
Scaling laws for aerodynamics of moving wings in the Martian atmosphere. This project aims to increase understanding of the aerodynamics of bio-inspired flight in the low-density atmosphere of Mars. The significance of flight in planetary exploration is shown by the ongoing success of the Ingenuity helicopter on Mars, and the Dragonfly rotorcraft planned for use on Titan. Expected outcomes of this project will be innovative numerical modelling techniques validated using local specially designed ....Scaling laws for aerodynamics of moving wings in the Martian atmosphere. This project aims to increase understanding of the aerodynamics of bio-inspired flight in the low-density atmosphere of Mars. The significance of flight in planetary exploration is shown by the ongoing success of the Ingenuity helicopter on Mars, and the Dragonfly rotorcraft planned for use on Titan. Expected outcomes of this project will be innovative numerical modelling techniques validated using local specially designed low-pressure experimental facilities. Benefits will be more accurate design guidance for efficient and robust flapping and rotary wing robotic vehicles for Mars and other space exploration that take advantage of the unique atmospheric conditions, and in placing Australia at the forefront of such design technology.Read moreRead less