About

I am a multi-disciplinary researcher and artificial intelligence (AI) engineer. As a biologist and statistician by trade, my research topics have ranged from the immunology and physiology of Barramundi to the study of genetic networks and polygenic trait adaptation. Throughout my research, I have developed my skills in data analysis, machine learning, and AI engineering, which I now apply to full-stack development of bespoke CV models for aquaculture. I am currently looking for new projects and work to take on, so please don't hesitate to reach out to me if you are interested in working together or have any questions about my work.

I hold a Bachelor of Advanced Science (Honours) from the University of Queensland and am awaiting the conferral of my doctorate from the same institution (viva scheduled for early June 2026). My PhD thesis, titled "Improved Understanding and Early Detection of Emergent Stressors in Aquaculture Through Computer Vision", focused on the potential of computer vision to improve monitoring systems and management of stress and disease on aquaculture farms. Overviews of the research and projects conducted during my PhD can be found on my projects page, and the full thesis will be made available on this website in the near future.

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