Reflections on the 2026 Statistical Leadership Symposium
Read our 2026 Statistics Leadership Symposium recap and presentation highlights from members of the AusHSI Higher Degree Research Team, who reflect on their experiences and key learnings from this inspiring event.
The worlds we are given: What my PhD taught me about health and choice
When I began my PhD studying virtual care, its promise felt made for the people I had grown up watching struggle to access care. If care could travel through a screen or a phone line, then distance, transport, time off work, all the old barriers, might simply dissolve. My job was to ask the question: does virtual care actually deliver value, and crucially, for whom?
Supporting early detection of liver cancer in Australia
Hepatocellular carcinoma (HCC) is the most common type of cancer that occurs in the liver. It has become the fastest-rising cause of cancer mortality in Australia, and detecting HCC early is very important. AusHSI PhD student, Inosha Alwis, is researching cost-effective, patient-centred HCC surveillance programs to help improve survival rates.
More than “Just a Statistician”
Every statistician remembers when they were first asked for advice by a colleague or collaborator. Fifteen years on, these conversations are now second-nature and I have come to realise that my technical knowledge alone is not enough to build a career as a statistician. By creating space to strengthen leadership capability at our inaugural symposium, we hope to support the next generation on their statistical career journeys.
Researcher spotlight: Q&A with Belinda Lange
Read our Q&A with Belinda Lange, who recently joined AusHSI as Professor of Health AI. Highlighting QUT’s commitment to advancing responsible AI in health, Belinda’s appointment forms part of an exciting cross-faculty initiative with the Faculty of Engineering to increase capacity and collaboration in Health AI.
More than a thesis – growing through mentorship and collaboration
When I started at QUT, exploring opioid use after spinal cord injury, I thought I was signing up to learn new methods, generate outputs, and deepen my expertise. And while all of that has been true, it’s not what has stayed with me most. What I didn’t expect was how much a PhD would shape the kind of person and academic I want to become.
When Life is Difficult — And Why That Matters in Research
Despite the financial pressures my family has faced, I’ve been extraordinarily fortunate to pursue postgraduate study, and ultimately a PhD examining the financial burden of childhood cancer. My research focuses on the out-of-pocket costs families face, what makes financial aid schemes succeed or fail in practice, and what families actually value in financial support models.
From Coast to Bush: Improving mental health service access for Australia’s rural and regional youth
My PhD project aims to develop a model of care that improves mental health service access for young people in rural and regional Queensland. Building on findings from The Bridging Study, I will analyse contextual factors affecting service delivery to inform co-construction of the care model in consultation with key stakeholders.
Exploring sustainability models for Aboriginal and Torres Strait Islander research in diabetes and cardiovascular disease
In December, MTPConnect, Lowitja Institute and AusHSI co-hosted a forum bringing together health researchers, Community and partner organisations from Round 3 TTRA-funded projects, together with government, philanthropic and other funders, to support Aboriginal and Torres Strait Islander research in diabetes and cardiovascular disease.
Understanding the impact of recurring health issues on opioid use after injury
Opioids are widely prescribed for pain management, especially after injury or surgery. My study goes beyond merely describing prescribing patterns over time to investigate whether the timing and recurrence of health events are key drivers of long-term opioid use.
Advancing sustainable design and adoption of clinical decision support systems
Clinical decision support systems (CDSSs) hold enormous promise for improving healthcare delivery. Yet, when introduced into the complex realities of busy hospitals, CDSSs often struggle to deliver in practice. My research uses implementation science frameworks to identify and inform the step-by-step processes needed for lasting adoption.
A model of good research practice in clinical prediction
When it comes to health and medical research, doing the right thing is critical, especially when it impacts patient outcomes. Alexander Gibson's research focuses on identifying statistical and research practice issues in clinical prediction models to promote best practice.
