Scaling Disk-Resident Learned Indexes For Database Systems. This project aims to investigate new disk-resident learned indexing algorithms to store and process data in database systems by advancing the state-of-the-art in memory-resident learned modeling. This project expects to generate new knowledge in the area of digital storage technologies utilising novel and efficient techniques in learned indexing for big data. This should provide significant benefits to enable modern database systems to ....Scaling Disk-Resident Learned Indexes For Database Systems. This project aims to investigate new disk-resident learned indexing algorithms to store and process data in database systems by advancing the state-of-the-art in memory-resident learned modeling. This project expects to generate new knowledge in the area of digital storage technologies utilising novel and efficient techniques in learned indexing for big data. This should provide significant benefits to enable modern database systems to scale with the massive growth of data, improve the efficiency of data processing, improve the effectiveness of projects that utilise big data, and dramatically reduce energy costs in Australian data centres when storing and retrieving data from databases and lower their carbon footprints.Read moreRead less
Loss-based Bayesian Prediction. This project proposes a new paradigm for prediction. Using state-of-the-art computational methods, the project aims to produce accurate, fit for purpose, predictions which, by design, reduce the loss incurred when the prediction is inaccurate. Theoretical validation of the new predictive method, without reliance on knowledge of the correct statistical model, is an expected outcome, as is an extensive numerical assessment of its performance in empirical settings. T ....Loss-based Bayesian Prediction. This project proposes a new paradigm for prediction. Using state-of-the-art computational methods, the project aims to produce accurate, fit for purpose, predictions which, by design, reduce the loss incurred when the prediction is inaccurate. Theoretical validation of the new predictive method, without reliance on knowledge of the correct statistical model, is an expected outcome, as is an extensive numerical assessment of its performance in empirical settings. The new paradigm should produce significant benefits for all fields in which the consequences of predictive inaccuracy are severe. Problems that lead to substantial economic, financial or environmental loss if predictions are incorrect will be given particular attention.Read moreRead less
Roles Of The EMT Transcription Factors In Epigenetic Remodelling And Myeloid Cell Transformation.
Funder
National Health and Medical Research Council
Funding Amount
$809,520.00
Summary
This project is based upon our novel discoveries that identified ZEB2 and SNAI1 as novel genes involved in the development of aggressive forms of blood cancer. During the course of this proposal we will find new drug targets and new drug treatment options using existing drugs that will specifically target cancer initiating cells in order to kill aggressive forms of blood cancers that are currently refractory to treatment.
Identifying The Pathological Mechanism Of PCDH19-Girls Clustering Epilepsy
Funder
National Health and Medical Research Council
Funding Amount
$523,988.00
Summary
Changes in the PCDH19 gene are a relatively common cause of epilepsy. To better understand the basis of this disorder, we have developed unique mouse models that mimic the genetic changes and symptoms of this condition. We will perform careful analysis of brain development in these models to determine the primary cause of this condition. These experiments will create greater understanding of how changes in PCDH19 cause epilepsy in girls and facilitate the development of new treatments.
New methods for solving large models with rational expectations. This project aims to introduce innovative numerical methods to economic modelling to overcome computational barriers associated with the formation of expectations by households and investors. The outcome will be economic models that include sophisticated rational expectations specifications while retaining considerable industry, regional and occupational disaggregation. There will be benefits to economic policy by broadening the r ....New methods for solving large models with rational expectations. This project aims to introduce innovative numerical methods to economic modelling to overcome computational barriers associated with the formation of expectations by households and investors. The outcome will be economic models that include sophisticated rational expectations specifications while retaining considerable industry, regional and occupational disaggregation. There will be benefits to economic policy by broadening the range of questions that can be answered by detailed models and there will be benefits in the research community by providing a platform for examining dynamics in large-scale economic systems.Read moreRead less
Inflammatory skin disorders, such as psoriasis and dermatitis, are responsible for a large burden of human disease and affect people across alldemographics. Knockout (KO) of TNF signalling members in mice is known to induce skin inflammation. This project proposes to use these genetic mouse models to investigate how and why disruption of particular TNF superfamily members leads to disease and potentially identify new targets for treatment.
Identifying The Critical Pathways Which Regulate Vertebrate Craniofacial Development
Funder
National Health and Medical Research Council
Funding Amount
$552,131.00
Summary
Understanding the genes which underlie human birth defects is of immense clinical importance. Our laboratory is a world-leader investigating a gene responsible for facial skeleton development, Grhl2. With our wide range of models, we will discover how Grhl2 works to ensure the face and skull develop properly during birth.
Next generation computable general equilibrium modelling for economic policy formulation and evaluation. The aim of this project is to create the next generation of computable general equilibrium (CGE) models. The project will do this by introducing into the CGE framework theoretical structures and data from engineering and environmental studies as well as from modern macroeconomics, labour economics, industrial organization, monetary economics and behavioural economics. CGE models are used by ....Next generation computable general equilibrium modelling for economic policy formulation and evaluation. The aim of this project is to create the next generation of computable general equilibrium (CGE) models. The project will do this by introducing into the CGE framework theoretical structures and data from engineering and environmental studies as well as from modern macroeconomics, labour economics, industrial organization, monetary economics and behavioural economics. CGE models are used by governments throughout the world to assist in policy formulation. The outcome of the project will be to improve the application of CGE models in the areas of: trade; environment; energy; immigration; public finance; and macro stimulation. Read moreRead less
Engineering MYCN Models Of High-grade Serous Ovarian Cancer (HGSC)
Funder
National Health and Medical Research Council
Funding Amount
$797,478.00
Summary
The most lethal type of ovarian cancer, high-grade serous cancer (HGSC), can be divided into four subtypes based on gene patterns. One subtype involves a set of genes/proteins that, in their specific combination, result in activation of a pathway known as MYCN. As most HGSC start in the fallopian tube, we are using fallopian tube material to make new MYCN HGSC models to observe development in the earliest stages. We hope to generate new tests and treatments for this subtype of ovarian cancer.
Role Of MACROD2 Loss In DNA Repair, Chromosomal Instability And Development Of Colorectal Cancer: Clinical And Therapeutic Implications
Funder
National Health and Medical Research Council
Funding Amount
$772,871.00
Summary
The MACROD2 gene is deleted in one-third of human bowel cancers. We have discovered that MACROD2 deletion causes defective DNA repair and tumour chromosomal instability. Here, we will use novel laboratory models to show that MACROD2 loss actively promotes bowel cancer development. We will test the clinical implication of MACROD2 loss for predicting tumour therapy response and will investigate the potential of exploiting this deficiency for drug targeting.