Coming from Iran, Hamed Hosseini is currently in the first year of his PhD. His research topic focuses on Computational modeling of Atrial Fibrillation. Hamed initially took the Master 2 ‘Cardiac Ep’ course at Liryc and wanted to continue his PhD as part of the Institute’s Modeling team. Interview.

Hello Hamed. First of all, could you tell us more about your university career?

I studied biomedical engineering and biomechanics as part of my bachelor’s and first master’s degrees. After that, I started my career as a specialist in cardiac electrophysiology. As I progressed in this field, I realized how much I enjoyed doing research in the hope of finding the answers to many unsolved questions. So I decided to continue my studies to expand my knowledge and learn alongside researchers.

Why did you choose Liryc and more specifically the Master 2 “Cardiac EP”?

I’d known about Liryc for almost 5 years, thanks to the many research projects carried out at the institute. When I heard that Liryc was running a Master 2 course in cardiac electrophysiology, I applied.

What prompted you to pursue a PhD at Liryc?

Although I knew a little about the various arrhythmias and their treatment, I realized during the Master’s degree in cardiac electrophysiology that I could deepen my knowledge in this scientific field to gain an even better understanding of cardiac rhythm disorders. That’s why I decided to pursue my studies with a PhD.

Why did you choose this research project?

Computer modeling is an increasingly important tool in research. Learning to use computer models can help any researcher to plan and simulate many diseases of the cardiovascular system. I chose to carry out my Master’s internship in this field, within the Liryc’s Institut Modeling Department, and my current research project is a continuation of this.

What did the Master 2 program provide you with for your doctoral studies? What do you find most useful in your day-to-day work as a young researcher?

The “Cardiac EP” Master’s course includes several modules, such as pathophysiology and imaging, which have given me a broader understanding of the field and therefore a more comprehensive approach to solving the various problems in my research work. In parallel, I’m currently using Python as my main programming language, which I started learning during my Master’s year.