During my Master’s, I sought to develop more accurate methods for extracting clinically relevant information from atrial fibrillation and other atrial arrhythmias using signals obtained with non-invasive techniques. Though I worked with patients, most of what I did was based on computer models, which have the advantage of providing a controlled environment for the analyses. The models I used were developed by a collaborator, but they aroused my curiosity and I wanted to learn more about them. This curiosity is what brought me to Maastricht University within the Personalize AF project.
The group from Ulrich Schotten at the Cardiovascular Research Institute Maastricht investigates complex arrhythmias from a translational approach, focusing on bridging the gap between what physiologically happens in the heart cells and what can be measured with several techniques. They use computer models together with patient data and complex signal processing approaches to investigate atrial fibrillation, which immediately got my attention when I was browsing the Early-Stage Researcher positions in Personalize AF. Thankfully, Uli and the other members of the team from Maastricht University decided to trust me with the position, and I joined the group remotely in June. Unfortunately, the current Covid-19 pandemic has prevented me from going to Maastricht yet, but we are managing to work from home for the time being, and I hope to be in there in person as soon as possible.