Released several tool-kits such as VTrails (Geodesic Vascular Toolkit for Cerebrovascular Trees Inference), Dyno-M (Dynamometric HandGrip Analysis), VoLoAn (ChestWall Motion & Volume Local Analysis), and more. Published multiple relevant papers including 'VTrails: Inferring vessels with geodesic connectivity trees', 'Inference of cerebrovascular topology with geodesic minimum spanning trees', etc.
Research Experience
Lead Innovation Expert: AI & Digital Twin at Zeiss Medical Technology; Post-doctoral Research Associate at Inselspital and University of Bern - HORAO project; Research Associate at King's College London - School of Biomedical Engineering & Imaging Sciences; PhD research at UCL in Medical Physics and Biomedical Engineering.
Education
BSc. and MSc. in Biomedical Engineering from Politecnico di Milano; PhD in Medical Physics and Biomedical Engineering from University College London; Junior Research Fellow at the Italian National Research Council; Research Associate at King’s College London - School of Biomedical Engineering & Imaging Sciences; Post-doctoral Research Associate at Inselspital and University of Bern.
Background
Research interests include image processing for neurosurgery, interventional robotics and surgical microscopes, quantitative medical image analysis, neurovascular imaging, computer vision and pattern recognition, parametric modeling and digital twins, CAD/CAE and computational simulations for engineering, computer graphics, rendering and advanced visualizations in healthcare, machine learning and AI-based solutions for predictive neurology.
Miscellany
Participated in various academic conferences and speaking engagements, such as IPCAI @ CARS 2024, Swiss Translational Medical Imaging Network Workshop, SPIE PW 2023, and more.