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Scientist in laboratory

Integrating unique resources with complementary expertise from 20 diverse investigators

Project team

Chief investigators

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Professor Jonathan Golledge

James Cook University

Queensland Research Centre for Peripheral Vascular Disease

Molecular pathways, Drug design/delivery, Lab models, Trials, Data linkage, Analysis, Vitamin D

The Queensland Research Centre for Peripheral Vascular Disease (QRC-PVD) is dedicated to improving the diagnosis, treatment, and management of peripheral vascular disease (PVD). Our research evolves continuously, responding to emerging clinical challenges and new scientific discoveries. We employ a comprehensive range of methods across pre-clinical and clinical domains, including in vivo and in vitro models, genomics, bioinformatics, molecular biology, epidemiology, clinical trials, health economics, and advanced statistical analysis. This integrated approach supports the translation of foundational science into real-world health outcomes. Core research activities at the QRC-PVD include developing new therapies, identifying diagnostic markers, investigating risk factors and disease mechanisms, evaluating treatment strategies, and addressing gaps in current care pathways. The Centre operates across both laboratory and clinical environments, enabling a seamless connection between discovery and application. Our work is supported by strong partnerships across local, national, and international research networks.
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Professor Truyen Tran

Deakin University

Applied Artificial Intelligence Institute

AI/Machine learning, Software/Apps

As Head of AI, Health and Science at the Deakin Applied Artificial Intelligence (AI) Initiative, Deakin University, Professor Truyan Tran oversees research, graduate training and funding across three major programs: AI Future, exploring the foundations of intelligence; AI4Science, accelerating discovery through AI; and AI4Health, developing translational AI to improve health outcomes.  


AI Future aims to create generalist systems that learn, reason and act responsibly across human domains—envisioning AI as a digital species of intelligent, evolving agents. The research group focuses on deep reasoning, social modelling, memory and alignment to ensure AI remains truthful, safe and consistent with human values.


AI4Science unites AI and scientific discovery. We build AI Scientists—autonomous agents that generate hypotheses, design and perform experiments and uncover insights in physics, chemistry and biology. Our work accelerates materials and energy research, decodes biological systems and advances drug discovery, making science faster, cheaper and more creative through human–AI collaboration.


AI4Health develops intelligent technologies that support clinicians and patients. We create AI Doctors capable of seeing, thinking, planning and communicating like human professionals. Our systems enhance medical imaging, population health analysis and personalised care, with applications from early cerebral palsy screening and mental-health support to suicide-risk prediction and pandemic forecasting. Our goal is to make trustworthy AI accessible for everyone’s health and wellbeing.As Head of AI, Health and Science at the Deakin Applied Artificial Intelligence (AI) Initiative, Deakin University, Professor Truyan Tran oversees research, graduate training and funding across three major programs: AI Future, exploring the foundations of intelligence; AI4Science, accelerating discovery through AI; and AI4Health, developing translational AI to improve health outcomes.



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Dr Ellie Paige

QIMR Berghofer

Cardiovascular Disease Prevention

Qualitative, Risk calculators, Trials, Data linkage, Analysis, Vitamin D

Our goal is to reduce the burden of cardiovascular and related diseases across the Australian population by generating high-quality epidemiological evidence to inform policy and practice. The Cardiovascular Disease Prevention Group generates epidemiological evidence to guide policy and practice decisions to improve the prevention of cardiovascular and related chronic diseases in Australia. A particular focus is on using big data and modelling to enhance disease risk prediction to guide treatment decisions in primary care and generating evidence to address gaps in implementation of preventive interventions.
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Professor Guangzhao Mao

The University of Edinburgh

School of Engineering

Molecular pathways, Drug design/delivery, Lab models

Professor Guangzhao Mao is a leading innovator in nanotechnology and materials engineering, shaping the future of nanomedicine and advanced sensor systems. As Head of the School of Engineering at the University of Edinburgh, she spearheads cutting-edge research that bridges engineering and medicine, unlocking groundbreaking possibilities in drug delivery and nanoscale material applications. Her pioneering research focuses on two transformative areas: Electrocrystallization & Nanosensors. Her research unravels the fundamental processes of nucleation and crystal growth in electrodeposition, applying these insights to develop next-generation gas sensors. Her work enhances sensor scalability, with impactful applications in medical diagnostics, environmental monitoring, and industrial automation. Her breakthroughs in integrating nanosensors into larger systems are redefining their real-world potential. Nanotechnology & Neuroscience. Merging nanotechnology with neuroscience, Mao’s team is developing revolutionary drug delivery systems targeting the central nervous system. Her protein-drug nanoconjugates offer a novel way to bypass the blood-brain barrier (BBB), a long-standing challenge in treating neurological disorders. This innovative approach has already shown promising results in enhancing respiratory function for spinal cord injury, with significant implications for neurodegenerative disease treatments. Her latest advancements include a microfluidic cell-based assay that accelerates drug screening and preclinical evaluations.

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Professor Robyn Clay-Williams

Macquarie University

Centre for Healthcare Resilience and Implementation Science

Risk calculators, Qualitative

We work on complex problems, adopting evidence and translating this into practice to improve delivery systems and design new models of care for healthcare systems of the future. Ultimately our research is focussed on delivering health reforms and systems improvement to patients, policy makers and healthcare providers. We are methodologically sophisticated, multidisciplinary and draw on assembled and collaborative expertise in areas including health systems, policy, medicine, nursing, psychology, anthropology, sociology and complexity science. We are internationally respected and partner widely in Australia and overseas including with the Australian Council on Healthcare Standards, BUPA, Children’s Health Queensland, NSW Clinical Excellence Commission, Australian Commission on Safety and Quality in Health Care (ACSQHC), the International Society for Quality in Health Care (ISQua), the OECD, the Society for the Study of Organising for Health Care and the World Health Organisation. Importantly we also contribute to undergraduate medical, postgraduate health services management, and public health and doctoral education. We are uniquely positioned to investigate the myriad, dynamic interactions between interconnected webs of clinical professionals, their patients, healthcare technologies, communication systems and equipment. We enhance understanding of the big picture of healthcare delivery and guide policy into practice. Our research underpins new models of care, fashions improved services for patients, builds better policy, provides an evidence base for what people do, and transforms the systems through which care is delivered.
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Dr Sonia Shah

UQ

Institute for Molecular Bioscience

Genomics

We use large-scale genomic data to gain insights into human disease to enhance our ability to prevent, manage, and treat them. DNA is known as the ‘blueprint of life’, containing the instructions needed for an organism to develop and function. Though on average the DNA sequence of two human beings is 99% similar, it’s the differences that make us unique, but also determine how we respond to the environment and make some of us more susceptible to disease. Studying our genome using the latest genomic technologies can therefore provide in-depth insights into how our body functions and what goes wrong in disease. We have a focus on cardiovascular and liver disease and also collaborate with clinicians to use genomic data for clinically-driven research that can improve patient outcomes.
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Associate Professor Jon Oakhill

St Vincent’s Institute of Medical Research

Metabolic Signalling Laboratory

Molecular pathways, Drug design/delivery, Lab models

The Metabolic Signalling Laboratory conducts research on kinase signalling networks that control cellular metabolism. These networks become dysfunctional in metabolic diseases such as insulin resistance, type 2 diabetes and cardiovascular disease, and also represent vulnerabilities in cancer cells that can be targeted to prevent tumour growth and metastasis. Our principal focus is the cellular fuel gauge AMP-activated protein kinase (AMPK) which detects when energy in the cell is low and co-ordinates multiple pathways to counter energy imbalance (e.g. fat burning, protein synthesis, autophagy). AMPK is also a key regulator of appetite and muscle adaption to exercise. Other metabolic enzymes of interest include CaMKK2, a driver of prostate and ovarian cancers and metabolic disorders, and DRP1, important for mitochondrial health and heart function. We apply biochemistry, cell biology, microscopy, structural biology, mass spectrometry and animal models to gain insight on the roles of these important enzymes and how they are regulated, with the aim of developing new, effective and safe strategies to unlock their therapeutic potential.
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Dr Philip Tsao

Stanford Medicine

Cardiovascular Medicine

Genomics

Our primary interests are in understanding the molecular underpinnings of vascular disease as well as assessing disease risk. We use a wide range of biochemical, molecular and physiological techniques to make primary observations in cell systems as well as preclinical models. Furthermore, we continue to extend our findings to human subjects in order to confirm their clinical applicability.
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Professor Thomas Christian Gasser

Royal Institute of Technology

Material and Structural Mechanics

Biomechanics

The development and application of advanced numerical techniques to solve realistic (bio)engineering and clinical problems, is Gasser’s main research objective. Constitutive models for anisotropic finite strain materials have been implemented in all major Finite Element simulation packages, such as ANSYS, ABAQUS, COMSOL, etc, and Gasser’s translational biomechanics research led to A4clinicsRE, commercial biomechanical-based simulation software for clinical decision making. He wrote one book and co-authors 2 PCT patents, 100+ peer-reviewed journal publications and 10+ book chapters. His work led so far to more than 16k Google Scholar citations and an h-index of 52. He is listed as KTH’s most influential researcher in Biomedical Engineering, ranked amongst top 2% worldwide in this field, and in 2022 he was awarded a Humboldt Research Award from Germany. He is Associate Editor of Int. J. for Num. Meth. in Biomed. Engrg, in the editorial board of Mechanics of Soft Materials and a EMMCC member. He is the designated 2024 Odqvist lecturer, a distinction awarded by the Swedish national mechanics committee. He is Principal founder of ARTEC Diagnosis AB as well as VASCOPS GmbH and serves a legal expert for skiing accident reconstruction at Oberlandesgericht, Graz, Austria.
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Professor Gabriella Loots

UC Davis Health

School of Medicine Department of Orthopaedic Surgery

Bioinformatics, Bone biology, RNA

Our group is interested in understanding how functional elements are encoded in the human genome and how proteins and transcriptional regulatory elements orchestrate tissue- and cell-type specific gene regulatory networks in health and disease states. We focus on noncoding regulatory elements that cause congenital skeletal defects and contribute to susceptibility to bone and cartilage degenerative disorders such as osteoporosis and arthritis. We use comparative genomics, genetic engineering, bioinformatics analysis, single cell RNAseq, and other high throughput genomic approaches to test our genomic-driven hypotheses. Our studies emphasize on the role of Wnt Signaling in bone, cartilage and cancer.
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Project team

Associate investigators

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Dr Sandra Galic

St Vincent’s Institute of Medical Research

Metabolic Signalling Laboratory

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Dr Kyoko Miura

QIMR Berghofer

Cardiovascular Disease Prevention

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Dr Kristen Barratt

James Cook University

Queensland Research Centre for Peripheral Vascular Disease

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Dr Shiv Thanigaimani

James Cook University

Queensland Research Centre for Peripheral Vascular Disease

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