Paula Buzduga

Paula works at the intersection of artificial intelligence, biomedical image analysis, and clinical applications. Her research focuses on deep learning methods for medical image segmentation and reconstruction, particularly in MRI and brain imaging. With a background in physics, she approaches these challenges from a strong analytical and quantitative perspective, focusing on extracting meaningful information from complex medical imaging data. She is particularly interested in integrating human expertise into AI systems, for instance through radiologist-informed training strategies and eye-tracking studies, to develop models that are not only accurate but also interpretable and clinically meaningful. Alongside developing accessible open-source tools and translational approaches, she aims to contribute to more diverse, inclusive, and collaborative research environments and to help bridge the gap between methodological innovation and clinical impact.