- Project Title: Identifying Phenotypic Markers for Anxiety
- Partner Organisation: Precision Health Alliance (PHA)
- Honours Student at QUT
- Supervisors: Professor Divya Mehta, Associate Professor Mark Plenderleith, Dr Cameron McDonald
This project explores how physical, behavioural, and neuroanatomical phenotypes—collected using Shae AI technology—can help detect early signs of anxiety. This project highlights the potential of artificial intelligence and personalised health tools in improving early intervention, diagnostic precision, and long-term mental health outcomes. The project contributes to the evolving field of predictive mental health by analysing large-scale, self-reported wellness data from Australian office workers.
What made you interested in the program?
I became interested in this program as it greatly aligns with me as I have played football at a high level for over a decade as it is a deep passion of mine. Additionally, I have had to navigate my own issues with mental health, particularly anxiety.
What research question are you looking forward to exploring?
I am excited to get a better understanding of how the physical body begins to change under the stress of changing mental health and how that might differ between people.
Fun Fact About Yourself?
Sport has been a big part of my life since I could walk, playing football (soccer), AFL, tennis, basketball, and most recently I have taken up Golf.