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
