I’m a master’s student in Computer Science and Engineering at Politecnico di Milano, passionate about Artificial Intelligence and Cybersecurity.
My current goal is to grow as a researcher and professional by contributing to projects at the intersection of theory and real-world impact.
Beyond academia, I am passionate about travel, exploration, and photography, and I also enjoy immersing myself in books, video games, and TV series.
September 2023 - currently
The courses I enjoyed the most:
Machine Learning. Artificial Neural Network & Deep Learning (+ project). Natural Language Processing (+ project). Game Theory. Computer Security. Digital Forensics & Cybercrime.
All projects are available on my github profile .
November 2022
As one of 130 students selected from Politecnico di Milano, I attended the Athens Network programme at Telecom Paris, focused on advanced training in deep learning.
The course provided a solid foundation in supervised machine learning, covering regression and classification with multilayer sigmoid networks, and extended to practical applications of deep convolutional neural networks for image classification and generative modeling.
January - June 2022
2020 - 2023
The courses I enjoyed the most:
Fundamentals of Programming in C. Computer Architecture & Operative Systems. Logic & Algebra. Software Engineering (+ project). Logical Networks (+ project). Algorithms and Data Structures (+ project).
All projects are available on my github profile .
Exploring how intelligent systems can learn from data and experience, with a focus on making models more efficient, scalable, and adaptable to real-world challenges.
Investigating the reasoning abilities, adaptability, and interpretability of LLMs, and how they can be shaped into trustworthy tools for knowledge and problem-solving.
Studying the vulnerabilities of machine learning models and contributing to strategies that make AI systems more robust, secure, and reliable.
Understanding how AI systems impact society and working towards approaches that ensure fairness, transparency, and responsible deployment.