I am a PhD scholar at Adelaide University, working at the intersection of dentistry, colour science, and artificial intelligence, with a focus on making clinical assessment more objective, measurable, and data-driven. 
My research explores tooth colour beyond visual judgement, using spectrophotometry, digital imaging, and quantitative analysis to capture subtle changes that are often missed in routine dental practice. I have worked across areas including colour stability, digital shade matching, and imaging-based analysis, with a strong emphasis on improving accuracy and reproducibility in dental diagnostics.
More recently, I have been applying machine learning to translate complex colour data into clinically meaningful insights, particularly for early detection and classification of dental conditions. I am particularly interested in bridging the gap between research and real-world clinical application, developing approaches that are not only technically robust but also practical and scalable for dental diagnostics and aesthetic assessment.