I am an early career plant scientist and researcher at The Plant Accelerator, Australian Plant Phenomics Network, at Adelaide University. APPN profile
 
My research intersts are in plant biology, genetics, phenomics, advanced imaging, and computational analysis, with a focus on understanding how genetic variation translates into plant structure, development, and performance.
 
My scientific background is in plant genetics, developmental biology, and cell wall biology. This biological foundation has shaped my approach to plant phenotyping, where I am interested not only in measuring plant traits, but also in understanding the biological processes underlying phenotypic variation. In my current research, I develop and apply non-destructive, quantitative imaging technologies, particularly X-ray computed tomography (CT), to characterise complex plant structures in 3D.
 
A major focus of my work is the development of high-throughput phenotyping approaches for cereal and other crops. I use X-ray CT and image analysis to investigate traits that are difficult to measure using conventional methods, including spike and root architectures. My research has included the development of methods for quantitative characterisation of wheat spikes and grains, as well as root and other plant structures. I am particularly interested in extracting biologically traits from complex 3D images and linking these phenotypes to genetic variation and environmental responses.
 
An important aspect of my research is to strengthen the connection between genotype and phenotype. By combining genetic information with detailed, quantitative phenotypic measurements, I aim to help identify the biological basis of important crop traits and improve our ability to select and develop crops with desirable characteristics. I am interested in approaches that can move beyond simply describing phenotypic variation towards understanding the mechanisms and genetic factors that contribute to it.
 
My work is heavily interdisciplinary, bringing together plant science, genetics, imaging, computer vision, data analysis, and artificial intelligence. I develop computational workflows for automated image analysis and trait extraction to increase the scale, consistency, and biological value of phenotyping experiments. I am particularly interested in how emerging imaging and AI technologies can be integrated with established plant biology and genetics to address complex questions in agricultural and plant science.
 
Through my research, I aim to contribute to the development of more informative and scalable phenotyping platforms and to support the translation of advanced phenotyping technologies into practical crop improvement research. I also value interdisciplinary and international collaboration and work across plant science, imaging, computational research, and crop improvement communities.