Experienced, interdisciplinary, and dedicated scientist, researcher, and engineer, constantly motivated and inspired by personal passions. Capable of effectively managing self-directed projects, while also contributing to team-based endeavors. Competent communicator, adept at multitasking and proficient in liaising with diverse professional figures across multiple disciplines. With experience in the latest cutting-edge development tools, I am poised to make significant contributions in the development of new AI-based techniques, transforming needs into innovative technologies and solutions.
29th October 2024, dissertation title “Machine Learning Approaches for Prediction of Treatment Outcome in Cardiac TAVI Procedures”
I graduated on the 16th March 2018 in Clinical and Biomedical Engineering with an inter-university degree program between the University of Padua and Trieste.
I spent a year during my MSc Degree in Clinical and Biomedical Engineering at the Eindhoven University of Technology, initially with the Erasmus+ Program, later for my master thesis after a short period of internship in the VCA-SPS research group.
I spent the first semester of my MSc Degree in Clinical and Biomedical Engineering at the University of Padua for the inter-university degree program with the University of Trieste.
I graduated on the 26th July 2014 in Telecommunications Engineering at the Polytechnic of Turin.
Research & Advanced Development for the Philips Mobile Cardiac Telemetry (MCOT) Patch.
Issued by 12th International Conference on Biomedical Engineering and Technology.
ITEA Award of Excellence Exploitation for the PARTNER project Patient-care Advancement with Responsive Technologies aNd Engagement togetheR.
Issued by 10th International Conference on Biomedical Engineering and Technology.
Do not hesitate to contact me for any collaboration.