The list of my scientific publications are on a dedicated page on this site.
Back to the academic side, to focus on cardiac electrophysiological modelling.
A little more than three years spent on the industry side. I successfully set up neural network-based automated segmentations of the CT images suited to the workflow of this company, and developed several algorithms to improve the productivity and accuracy of the segmentation workflow of this startup.
Supervised by Maxime Sermesant (Epione research group, Inria), it focuses on image based personalization of cardiac electrophysiological models, with an emphasis on ischemic ventricular tachycardia ablation. During this PhD, I designed a deep learning based medical image segmentation method and combined cardiac data from both imaging and electrophysiological studies. The thesis manuscript is available on this website.
During these years, I discovered (and enjoyed) image processing, mainly during an internship in the Morpheme research group.
In spite of the four validated years in medical studies previously completed, I had to start back in the 3rd year at University in order to be accepted in the master I was aiming at.
An unorthodox occupation that allowed me to pay my bills and even save money. Self-taught, I studied the mathematical and strategic aspects of the poker game with the help of online ressources.
Although I thoroughly enjoyed studying the fundamentals of human biology and some maths/physics, I progressively lost interest in medical school as basic science gave way to clinical practice.