
Bachelor of Science (Computer Engineering) Master of Philosophy (Computer Science & Statistics) Doctor of Philosophy (Artificial Intelligence)
Nathasha is a Postdoctoral Research Fellow in Deep Learning with the QUT-Sealy Centre for Biomechanics and Sleep Research Group and the QUT Biomechanics and Spine Research Group at Queensland University of Technology (QUT). She is an AI expert with extensive knowledge in deep learning and computer vision techniques for medical image analysis. During her PhD at the University of Queensland (UQ), Nathasha focused on implementing deep learning techniques for analysing contextual visual indicators beyond skin lesion image analysis that can be used for early melanoma detection. Her work includes object detection models for pigmented iris freckle detection, triplet networks for anomaly detection of ugly duckling lesions, and mixed-model methods for spatial detection of suspicious lesions on 3D whole-body images.
In her current role with the BSRG team, Nathasha is involved in implementing AI methods for the assessment of non-invasive imaging performed on patients with spine deformities, and for computationally modelling spine biomechanical properties to understand the relationship between sleep comfort, surface pressure on mattresses and spinal alignment of individuals. Nathasha’s current research interests are in medical image analysis with deep learning methods for segmentation, reconstruction, and generative AI.