I am a university lecturer and PhD candidate in Biomedical Engineering with a focus on Bioelectric applications. My research lies at the intersection of medical imaging, artificial intelligence, and oncology. I am particularly interested in developing AI-driven methods for cancer diagnosis and prediction to improve clinical decision-making and patient outcomes. My previous work includes designing convolutional neural network models for breast cancer staging using mammography images. More broadly, my research interests encompass medical image processing, machine learning for cancer prediction, and the creation of computational tools that enhance accuracy and efficiency in oncology workflows. I am committed to advancing this field and applying my research to address critical challenges in cancer care, ultimately contributing to better diagnosis, treatment, and quality of life for patients