Dedicated data scientist and PhD candidate within Griffith University's School of Information and Communication Technology, specialising in multi-source remote sensing data fusion and modelling, applied mathematics, and programming. Skilled in machine learning, deep learning, and multimodal data integration, with expertise in predictive modelling, synthetic data generation, and computational efficiency. Strong foundation in engineering mathematics and statistics, with a passion for leveraging remote sensing technologies to address challenges in health, agriculture, and environmental systems.