My internship consists of the study and implementation of different types of neural networks such as Learnlets and U-nets to astrophysical image reconstruction. In particular, the generalisation problem will be addressed. The underlying idea is to contribute to mathematical methods such as blind source separation (BSS).
Some of my main interests include Machine Learning, Image and Signal Processing and Physics in general.
I am currently pursuing my engineering degree at the Grande Ecole IMT Atlantique in the context of a double degree agreement with Argentina. There, I studied electronic engineering at the Faculty of Engineering of the University of Buenos Aires. Back there I taught two physics courses: Electricity and Magnetism for two years and Quantum Mechanics for half a year.