About me
I’m a Computer Science & Engineering graduate student from Politecnico di Milano. My interest in AI began during high school, where I was fascinated by its potential to transform the world. This passion led me to focus on AI throughout my studies at AUT, allowing me to gain a deep understanding of this growing field.
What makes my approach unique is that I don’t limit myself to one specific area of AI. I believe in exploring different concepts like Data Mining, Computer Vision, NLP and Trustworthy AI. This broader perspective helps me come up with new ideas and tackle a variety of challenges.
With a solid foundation in these areas, I’m always eager to continue learning and apply my skills to solve new problems in the AI landscape.
Main Research Interests
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Data Mining & Deep Learning
I am passionate about leveraging data mining and deep learning approaches to solve complex problems across various domains. My primary focus lies in applying these algorithms to time series data, gaining valuable insights from spatio-temporal patterns.
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AI in Sports Analytics
Working with sports data combines my two passions: Sports, especially football, and AI. During my Bachelor thesis, I focused on extracting chance creation patterns in football teams, giving me the opportunity to delve into this exciting field.
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Trustworthy AI
I am passionate about Trustworthy AI because it addresses the real-world challenges of deep learning models. My interests include tackling problems like out-of-domain generalization, adversarial attacks and defenses, and anomaly detection, especially in vision models.
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Computer Vision
Working with images has always been one of my core interests, leading me to explore different computer vision tasks. I have completed several projects in areas such as Object Detection, Face Reconstruction, and Image Classification.
