Doctoral School

Ecole des Mines de Saint-Etienne (Lyon, FR)


Fondazione Toscana Gabriele Monasterio (Massa Carrara, IT)
PrediSurge (Saint-Etienne, FR)


Francesco Bardi

Early Stage Researcher 10

My name is Francesco Bardi. I obtained a bachelor degree in Mechanical Engineering from Politecnico di Milano in 2016 and a Master’s degree from École Polytechnique Fédérale de Lausanne in 2019. After completing a master thesis on aerodynamic optimization with geodesic convolutional neural networks, I joined Scuderia Alpha Tauri, as a CFD Methodology Engineer. Driven by the desire to apply my engineering knowledge in the medical field I decided to join the MeDiTATe project.
I am enrolled as a PhD student at Ecole des Mines de Saint Etienne since July 2020. The aim of my  project is to develop a combined experimental and computational platform to model the Endovascular Aneurysm Repair (EVAR) Procedure for ascending thoracic aortic aneurysm treatment. During the first 18 months, at Fondazione Toscana Gabriele Monasterio, I set up the experimental facilities and the associated measurement methodologies. More specifically I developed a novel Hybrid Mock Circulatory Loop (HMCL) .The second part of the project, at PrediSurge, will be dedicated to the development and of an in-silico workflow, to simulate the effects of the EVAR Procedure by means of Computational Fluid Dynamics. The experimental data obtained during the first phase of the project will be used to validate the numerical results and to develop enhanced simulation strategies.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 859836
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