Developing Interpretable Machine Learning Models For Clinical Imaging And Single-cell Genomics
Funder
National Health and Medical Research Council
Funding Amount
$1,312,250.00
Summary
Machine learning methods will be vital to make best use of the deluge of data generated by high-throughput technologies in biomedical science. To get the most out of these models, however, we need to be able to unpack the 'black box'. I will use curated clinical and public research data to benchmark and develop interpretable deep learning models and software tools. These models will be used for breast cancer screening programs and for analysis of complex, large-scale single-cell genomics data.
Targeting Iron Piracy From Host Proteins By Neisseria And Haemophilus Spp. For The Development Of Novel Antimicrobials
Funder
National Health and Medical Research Council
Funding Amount
$645,205.00
Summary
The bacteria that cause the sexually transmitted infection gonorrhoea and meningococcal disease are a serious health concern. In order to cause disease, these bacteria must obtain the nutrient iron from our bodies. This proposed research will use cutting edge technologies to understand on a molecular level how these bacteria obtain iron during infection. It will then apply this knowledge to develop molecules that prevent these bacteria from obtaining iron, as a means of treating these diseases.
Crosstalk Between The Repressive Histone Methyltransferases PRC2 And G9A: Structure-function Investigation To Open New Therapeutic Opportunities
Funder
National Health and Medical Research Council
Funding Amount
$595,205.00
Summary
The gene expression programs need to be precisely regulated and the misregulation of these programs can cause a broad range of human diseases. My research will focus on two protein complexes, which heavily contribute to the regulation of gene expression. My study will open a new path for developing new therapeutic strategies.