I am a double-degree Master’s student in Data Science at the University of Padua and the Universitat Politècnica de Catalunya. I hold a Bachelor’s degree in Computer Science from the University of Udine, with a specialization in Big Data, Internet of Things, and Machine Learning, where I built a strong technical foundation and developed a solid analytical mindset.
Throughout my Master’s, I have explored a wide range of topics in data science, with a strong focus on Machine Learning and its applications. My interests span both industrial and research oriented applications of Artificial Intelligence, with a particular emphasis on the use of AI in the medical and healthcare domain.
Over time, I have become increasingly interested in Natural Language Processing and advanced AI systems, driven by their potential to address complex, real-world problems. This curiosity has guided my academic and research path and is currently reflected in my final Master’s thesis, where I am researching the synergy between Artificial Intelligence and nanotechnologies within the cardiovascular system, in collaboration with the i2CAT Research Center. This work continues to motivate me to deepen my understanding of modern AI methodologies and their real-world impact.
Beyond my academic background, I am a highly curious and creative person, always eager to explore new ideas and perspectives. This mindset naturally draws me to the world of research, where I can give space to my creativity, develop original solutions, and continuously challenge myself. The dynamic and rapidly evolving nature of Artificial Intelligence strongly aligns with this approach, pushing me to contribute to the development of intelligent, reliable, and impactful solutions, particularly in high-impact domains such as medicine.
I am a double-degree Master’s student in Data Science at the University of Padua and the Universitat Politècnica de Catalunya. I hold a Bachelor’s degree in Computer Science from the University of Udine, with a specialization in Big Data, Internet of Things, and Machine Learning, where I built a strong technical foundation and developed a solid analytical mindset.
Throughout my Master’s, I have explored a wide range of topics in data science, with a strong focus on Machine Learning and its applications. My interests span both industrial and research oriented applications of Artificial Intelligence, with a particular emphasis on the use of AI in the medical and healthcare domain.
Over time, I have become increasingly interested in Natural Language Processing and advanced AI systems, driven by their potential to address complex, real-world problems. This curiosity has guided my academic and research path and is currently reflected in my final Master’s thesis, where I am researching the synergy between Artificial Intelligence and nanotechnologies within the cardiovascular system, in collaboration with the i2CAT Research Center. This work continues to motivate me to deepen my understanding of modern AI methodologies and their real-world impact.
Beyond my academic background, I am a highly curious and creative person, always eager to explore new ideas and perspectives. This mindset naturally draws me to the world of research, where I can give space to my creativity, develop original solutions, and continuously challenge myself. The dynamic and rapidly evolving nature of Artificial Intelligence strongly aligns with this approach, pushing me to contribute to the development of intelligent, reliable, and impactful solutions, particularly in high-impact domains such as medicine.