Adelaide University
Doctor of Philosophy, Computer Science and Information Technology
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Experience spans structured data labelling, multimodal annotation, and qualitative coding across research and applied AI contexts. This includes systematic classification and tagging of complex datasets comprising text, image, video, and immersive 360/XR media. Work has involved developing and applying coding frameworks, maintaining annotation consistency across large qualitative datasets, and using NVivo for thematic analysis and insight generation. Particular strength lies in handling ambiguous, non-standardised data where interpretive judgement and methodological rigour are required to ensure reliability and traceability. This experience is underpinned by a PhD in Computer Science and Information Technology and extensive work at the intersection of AI literacy, immersive media, and human-centred computing. Applied experience includes delivering AI training to public-sector and community audiences, with emphasis on data quality, model interpretation, and responsible AI use. Additional capability in XR production and digital media workflows strengthens competence in multimodal AI training contexts, particularly where visual, spatial, and behavioural data require structured annotation and contextual interpretation. Skills are transferable to ai.
Doctor of Philosophy, Computer Science and Information Technology
Master of Arts, Twenty-First Century Media Practice
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PhD Researcher (Computer Science & Information Technology)