I am currently a second-year Ph.D. student funded by PNRR,  specializing in Data Science in the area of Mathematical and Computer Sciences at the Department of Computer, Automatic, and Management Engineering 'Antonio Ruberti' at the Sapienza University of Rome, under the guidance of Professor Fabrizio Silvestri (@fabreetseo). My research encompasses various aspects of Deep Learning and Artificial Intelligence with a special focus on optimization and robustness of diverse deep-learning methods. My work, in particular, is based on the dedicated exploration of the impact of noisy training data on the robustness of deep learning methods. I am specifically interested in scrutinizing loss functions and developing novel, tailored, robust alternatives. In addition, my research extends to other areas of deep learning, including Graph Neural Networks and Computer Vision. My keen interest in Computer Vision drives me to explore the integration of different AI, machine learning, and robotics techniques within this domain. I am particularly interested in exploring how deep-learning models learn.