Laboratory
Imaging Research
I am a PhD student at the University of Melbourne and the Baker Heart and Diabetes Institute, applying machine learning/AI, causal inference, and advanced statistical methods to improve long-term cardiovascular health in people recovering from COVID-19. My research focuses on developing a clinical screening tool to identify patients at high risk of heart damage after infection, aiming to prevent serious complications like heart failure and support better care for COVID-19 survivors.
My research focuses on the long-term health consequences of COVID-19, with a particular interest in cardiovascular outcomes and functional recovery among survivors. It draws on data from trials and cohort studies such as PERCEIVE, TasELF, and VicELF, as well as statewide data linkage initiatives in Victoria covering a population of 5.8 million. These studies aim to better understand the potential causal relationship between COVID-19 and cardiovascular disease, identify early signs of left ventricular dysfunction, and develop risk prediction models to guide clinical care. Additional focus is placed on how individual risk profiles influence the effectiveness of interventions and recovery trajectories, with the goal of informing evidence-based strategies for the long-term management of COVID-19 survivors. Insights from this work are also expected to contribute to the broader clinical epidemiology of debilitating post-viral syndromes by leveraging emerging knowledge from Long Covid.
Achievements
- Travel Grant Award, Baker Heart and Diabetes Institute (2025)
- Bright Sparks PhD Top-Up Scholarship, Baker Heart and Diabetes Institute (2025)
- Rowden White Scholarship, University of Melbourne (2024)
- Melbourne Research Scholarship, University of Melbourne (2024)
