MSc student in Artificial Intelligence, Bachelor in Mathematics for AI at Bocconi University.

Main interests

My recent work focuses on the intersection of ML and simulation, with some quantified-self tooling here and there.

• Working on: applied ML, personal data analysis, small productivity tools
• Interests: geometric / graph-based deep learning, dynamical systems, tooling for better thinking
• Mostly using: Python, Go, Rust, Jupyter. VScode + Arch Linux with KDE

Selected projects

• 🐦 BirdCLEF 2025: audio pipeline + CNNs for bird call recognition on highly imbalanced data
• 🎯 Pursuit Curves: simulations of predator–prey differential games with Numba-accelerated dynamics
• 📊 Personal Analysis: self-tracking pipeline from Emacs logs to pandas notebooks
• 📚 BAI Notes: (somewhat) curated notes for Bocconi’s Bachelor in AI
• ⌨️ Doom Emacs Config: my old Emacs setup for writing, coding and analysis