Marcello Vittorio Mattei di Eugenio
Bio
Focus: Deep Learning, Aneurysm
Research: Deep Learning for Vessel Flow Prediction I research methods of deep learning applied to cardiovascular flow dynamics. For computational flow simulations (CFD) to be useful to doctors, they need to be accurate and fast at predicting the flow inside of a patient’s vessels for different procedures. Because of their iterative nature, these methods take a long time to provide the doctors with useful informations. We want to use a type of artificial intelligence called neural networks to help predict the flow inside blood vessels with equal accuracy but in a fraction of the time CFDs take. To do this, we generate a lot of simulated patient vessels and run CFD to predict the flow patterns inside. Then, we create our neural network algorithm and show it this data. Next time it looks at a patient’s vessel, It will try to predict, based on what it has “learned”, what the flow patterns inside that vessel will be!
Hello! My name is Marcello and I am from Caracas, Venezuela. I am doing my masters in biomedical engineering, applying methods of deep learning to the computational flow dynamics field. I am also a Resident Director on campus and a Data Science intern at Medicomp, Inc. If you me know, you know I love plants, fashion, and dancing! Catch me in the botanical gardens.
Education
M.S. Biomedical Engineering, Thesis:"Physics Informed Nueral Networks for Blood Flow Predictions", Florida Tech, 2023.
B.S. Biomedical Engineering, minor in Nanotechnology, Florida Tech, 2022.
- Graduating Class Faculty Honors Award, a prestigious award to three graduating students per class.
