About

I am a theoretical physicist who chose to do science and engineering without asking permission. I have been doing machine learning since high school — my final thesis was a C++ neural-network library written from scratch — and never stopped: particle physics at CERN with ALICE, geometric deep learning for lattice physics, and today autonomous AI systems that design, coordinate and run research.

I am not a developer converted to AI: I am a physicist who builds. The difference shows in the method — first principles, quantitative validation, discipline of constraints — and in the results: systems in production, not demos.

I live and work between Bra and Turin. When not building, I study quantum information at Sapienza, teach, and write about what thinking machines mean for us.