I have been part of several cardiology clinical studies as a member of research teams. Publications have covered, for example, the treatment of aortic diseases and the detection of cardiac arrhythmias — such as atrial fibrillation — using new technological methods.
I am currently conducting doctoral research on the automatic detection of cardiac arrhythmias from the ECG. Our work leverages artificial intelligence (deep learning) and real clinical patient data to develop diagnostics that support everyday care. The goal of AI‑based automatic detection is to identify arrhythmias — for example atrial fibrillation — early, before they lead to serious endpoints such as stroke. We aim to reduce the manual workload of nurses and doctors, speed up diagnostics and lower the risk of complications through timely detection, creating cost savings at the same time.
In 2024 I presented the first part of my doctoral work in Boston, USA at an international scientific congress focused on cardiac rhythms. This experience further strengthened my interest in how clinical medicine and technology can work together for the benefit of patients.
I am interested in research collaboration — especially projects that combine clinical expertise, prevention, effective care and clear business potential.
