I am a Biomedical Engineer and researcher currently working as a Senior Researcher in the SYS-LIFE program at University of Turku. My research focuses on cardiac image analysis, particularly the assessment and quantification of structural and functional alterations associated with Atrial Fibrillation using advanced medical imaging and computational approaches.

I completed my PhD in Biomedical Engineering, where my research involved the development of a framework for quantifying patient-specific left atrial wall motion using dynamic cardiac CT imaging data. My work combined medical image segmentation, image registration, computational modeling, and quantitative analysis to evaluate the impact of atrial fibrillation on left atrial mechanics.

Prior to this, I completed my MS in Biomedical Engineering, focusing on the development of brain phantom models for medical 3D printing using multimodal MRI datasets. I have also worked on patient-specific silicone aorta phantom development using CT-based 3D reconstruction and additive manufacturing techniques.

My research interests lie at the intersection of medical imaging, computational modeling, and medical 3D printing, with a strong emphasis on translational and clinically applicable biomedical technologies. During my research career, I have had academic and research exposure in Spain, Germany, and Norway.

My current research focuses on computational analysis of cardiac imaging data for evaluating atrial remodeling and left atrial appendage morphology in patients with atrial fibrillation. I am particularly interested in combining quantitative imaging biomarkers with machine learning algorithms to improve automated characterization, risk stratification, and clinical decision support.

I have experience teaching undergraduate biomedical engineering courses as an Assistant Professor in Biomedical Engineering. My teaching activities have included both theoretical and practical components, with emphasis on engineering applications in healthcare and medical technologies.

Courses taught include:

• Medical Image Processing
• Biomedical Engineering Systems
• Medical Device Quality Management Systems
• Medical Device Regulations and Standards
• Microprocessor Interfacing