photo_6017290272108120919_y
Andrea Marigo
Università di Padova
Master Student
photo_6017290272108120919_y
Andrea Marigo
Università di Padova
Master Student
I am a Master’s student in Control Systems Engineering focusing on Machine Learning. Currently researching Graph Neural Networks (GNNs) at N3Cat, I am passionate about understanding the mathematical foundations and the inner workings of neural architectures.

I am a Master’s student in Control Systems Engineering at the University of Padua, currently joining the N3Cat research group at ETSETB (UPC) for a research period. My academic path is characterized by a profound interest in how machine learning can be integrated with dynamical systems to solve complex challenges.
I hold a Bachelor’s degree in Information Engineering from the University of Padua. My final thesis, 'Neural Networks and the double descent phenomenon', allowed me to explore the theoretical aspects of deep learning and its generalization properties under the supervision of Prof. Gianluigi Pillonetto. To further my expertise, I have completed advanced coursework in Deep Learning, Computer Vision, Reinforcement Learning, and Learning from Networks, which provided me with a solid framework for my current research.
At N3Cat, my research focuses on Graph Neural Networks (GNNs). I am particularly interested in how these architectures can represent and process relational data.

Beyond my academic life, I was a competitive sabre fencer for 12 years, competing at national levels.This experience led me to become a certified instructor, coaching young athletes in both technique and sportsmanship. Additionally, I am a sports enthusiast and I believe that physical activity is a fundamental pillar of daily life.

I am a Master’s student in Control Systems Engineering focusing on Machine Learning. Currently researching Graph Neural Networks (GNNs) at N3Cat, I am passionate about understanding the mathematical foundations and the inner workings of neural architectures.

I am a Master’s student in Control Systems Engineering at the University of Padua, currently joining the N3Cat research group at ETSETB (UPC) for a research period. My academic path is characterized by a profound interest in how machine learning can be integrated with dynamical systems to solve complex challenges.
I hold a Bachelor’s degree in Information Engineering from the University of Padua. My final thesis, 'Neural Networks and the double descent phenomenon', allowed me to explore the theoretical aspects of deep learning and its generalization properties under the supervision of Prof. Gianluigi Pillonetto. To further my expertise, I have completed advanced coursework in Deep Learning, Computer Vision, Reinforcement Learning, and Learning from Networks, which provided me with a solid framework for my current research.
At N3Cat, my research focuses on Graph Neural Networks (GNNs). I am particularly interested in how these architectures can represent and process relational data.

Beyond my academic life, I was a competitive sabre fencer for 12 years, competing at national levels.This experience led me to become a certified instructor, coaching young athletes in both technique and sportsmanship. Additionally, I am a sports enthusiast and I believe that physical activity is a fundamental pillar of daily life.