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My work focuses on Galaxy Formation and Evolution from an observational point of view using large astronomical surveys over a very wide wavelength range.
The ultimate aim of my research is to understand how and why the properties of galaxies have changed across the history of the Universe. During the last years, I developed expertise in the fascinating and hot topic of machine learning and I am pioneering the use of Deep Learning techniques in astronomy.
Deep learning algorithms for morphological classification of galaxies
IAP Colloquium, Paris
01.12.2023
Identification of tidal features in deep optical galaxy images with Convolutional Neural Networks
EAS meeting, Krakow
14.07.2023
LAST SEMINARS
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