Doctoral School

Tor Vergata University of Rome (Rome, IT)


TechneValue (Bäch, CH)
Fondazione Toscana Gabriele Monasterio (Massa, IT)


Martino Andrea Scarpolini

Early Stage Researcher 09

My name is Martino Andrea Scarpolini. I was born in May 1997, in Rome. I spent the major part of my life near Rome, in a set of towns called “Castelli Romani”. I’ve always been very curious in many fields, but particularly in science and computers. In 2015 I started my university studies in Physics and in September 2020, I received a master’s degree in theoretical Physics from the university of Rome “Tor Vergata”. My academic background focused on the fields of Statistical Mechanics, Numerical Simulations, Turbulence and Deep Learning. I practice rock climbing as everyday sport and I enjoy the mountains very much.
I started my PhD at University of Rome “Tor Vergata” in November 2020. The focus of my project is to identify morphological/bio-humoral/hemodynamic variables which are of great importance in aneurysm stabilization or rapture, through Big Data Analysis techniques. I am developing deep learning-based algorithms to automatically extract 3D models of the aorta from CT scans and to estimate hemodynamics variables from them. I spent the first year and a half at TechneValue GmbH, an IT company specialized in Digital Innovation. During this period, I have been developing python code for deep learning purposes, while learning to deal with problems from the biomedical engineering field. In the following year and a half, I will be in Fondazione Toscana G. Monasterio, at the BioCardioLab, an engineering laboratory inside a heart hospital in Massa, specialized in experimental and numerical simulations in the cardiovascular field.
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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