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Please take a few minutes to provide your input. The survey closes COB Friday 29 May 2026.
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Mapping And Restoring Brain Networks Underpinning Psychiatric Symptoms
Funder
National Health and Medical Research Council
Funding Amount
$645,205.00
Summary
My research investigates how networks of brain regions dynamically communicate to support human behavior. I am interested in how brain network activity deviates from the norm to give rise to psychiatric symptoms. Results from my work will facilitate targeted research and interventions aimed at treating symptoms of psychiatric disorders.
Deciphering The Dynamic Neural Basis Of Cognition And Dementia
Funder
National Health and Medical Research Council
Funding Amount
$1,287,350.00
Summary
Understanding the way that the human brain works is an immense challenge, but it is one that is within our reach. My plan is to unlock the untapped potential of human brain imaging using methods from network science, physics and computational modelling. The project will create working models of the brain that we can use to test hypotheses about how the brain works at the systems level. This will allow us predict how the brain begins to deteriorate in dementia and pave the way for new treatments.
Harnessing Imaging And IT Strategies To Expedite Targeted Treatment And Improve Outcomes In Cerebrovascular Diseases
Funder
National Health and Medical Research Council
Funding Amount
$2,914,215.00
Summary
This project will expand on my 25+ years of research in combining neuroimaging methods such as CT and MRI with nascent software tools to better target and coordinate treatment and achieve improved outcomes in cerebrovascular diseases such as stroke. We will develop & improve new CT and MRI methods and leverage latest advances in computer science, such as deep learning and mobile phone app technology, to achieve faster and more accurate identification of patients who can benefit from treatment.
An Imaging-genomic Approach To Advance Understanding Of Early Cortical Development And Outcome After Preterm Birth
Funder
National Health and Medical Research Council
Funding Amount
$645,205.00
Summary
In Australia, over 26,000 babies are born too early each year, with long-lasting consequences to their development. We do not know how preterm birth affects the newborn brain. In order to improve our understanding, I will combine neuroimaging and genetic data to uncover how preterm birth affects the development of the brain in newborns and how this imparts risk for poor cognitive and motor outcomes. This will allow us better plan and monitor clinical trials and treatments for these infants.
A Network Approach To Mapping And Modifying Brain Changes In Psychosis
Funder
National Health and Medical Research Council
Funding Amount
$2,163,245.00
Summary
Psychosis fundamentally alters a person’s relationship with reality. Brain scans can map which parts of the brain are affected by psychosis, but they cannot reveal the actual disease processes that cause these changes. I will address this gap by integrating brain imaging with genetics and mathematical modelling to identify the brain circuits and molecules that impact risk for psychosis, and to develop targeted therapies that modify risk-related brain dysfunction.
Suboptimal Sleep And Unhealthy Brain Ageing: Improving Outcomes Through Treatment
Funder
National Health and Medical Research Council
Funding Amount
$632,705.00
Summary
My research will address limitations in our understanding of the impact of sleep characteristics on memory and thinking abilities and biological markers of brain health in older adults, by; 1) exploring these relationships over time, and 2) enabling direct assessment of the effect of improved sleep on memory and thinking, and markers of brain health, following sleep-improvement therapy. My results will contribute to the development of strategies aimed at promoting healthy brain ageing.
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.
IRON IN DISEASES OF THE AGEING BRAIN: From Bench To Clinic
Funder
National Health and Medical Research Council
Funding Amount
$1,814,215.00
Summary
I aim to achieve a deeper understanding of the causes, detection and treatment of incurable neurological diseases of advancing age - Alzheimer’s disease, Parkinson’s disease and Motor Neuron Disease. Iron needlessly accumulates in brain tissue with age. I will pursue studies of ageing worms, cells in culture, mice, human brain tissue, brain imaging and clinical trials, to determine whether the problem of iron accumulation is a drug target for these diseases.
Improving The Delivery Efficiency Of Nanomedicines To Tumour Tissue
Funder
National Health and Medical Research Council
Funding Amount
$645,205.00
Summary
This research program seeks to develop improved nanomedicines for treating cancer. This will be achieved by targeting the poor delivery efficiency that currently hinders the translation of existing nanomedicines from laboratory to clinic. Successful completion will result in new nanomedicines that effectively target the tumour tissue and display superior therapeutic efficacy, and that will ultimately be developed into new treatments that improve patient outcomes.
Cancer Imaging And Targeted Radiation Therapy: From Discovery To Clinical Practice
Funder
National Health and Medical Research Council
Funding Amount
$2,114,215.00
Summary
This program will create a new pipeline of cancer imaging and targeted radiotherapy medical devices, translating discoveries to new first-in-world clinical trials and engaging with industry to see these innovations used in broad clinical practice. The research is applicable to all major cancer types and radiation therapy is essential for cancer cure and symptom control for half of all cancer patients, success means a global real-world impact on the lives of millions of cancer patients.