My research interests lie at the intersection of applied mathematics, medical imaging, and artificial intelligence. I focus on the development of computational and mathematically grounded methods for biomedical image analysis, including deep learning approaches for image segmentation, quantitative MRI, radiomics, and predictive modeling from clinical and imaging data. Additionally, I explore physics-informed and data-driven modeling to advance predictive analytics in physiological and clinical applications.