I am a soil physics researcher with experience and interest in numerical analysis of partial differential equations, soil spectroscopy, and physics-informed machine learning. Currently, I develop advanced models to improve digital mapping and proximal sensing of soil properties. My research focuses on integrating classical physics-based approaches with innovative machine learning techniques to enhance model accuracy in large-scale soil property mapping and to optimize data use in sparse datasets.
