Giulio Viganò

I am a PhD researcher in Computer Science at the University of Milano-Bicocca, working at the intersection of machine learning and geometry.

My research focuses on developing neural architectures to understand and model correspondences between 3D shapes, and to use geometry as a lens to undestrand pretrained models. I am passionate about finding realtions between apparently differently concepts, like in different areas of math and between math and applied subjects. During my Phd, I spent aperiod viting LiX at École Polytechnique near Paris, where I explored how geometric reasoning can advance our understanding of Large Languange Models.

Previously, I earned a Master’s degree in Applied Mathematics from the University of Milan.

When I’m not working, you’ll find me at the bar discussing politics but also enjoying the essentials of Italian life: food and footbal.

Research Interests

• Geometric Deep Learning
• Spectral Geometry
• Machine Learning