Engineering Physics M.Sc. student at Politecnico di Milano, working at the intersection of statistical mechanics, complex systems and computational physics. I like turning physical theory and mathematical models into simulations that actually run.
- Monte Carlo methods: from Metropolis-style sampling to particle schemes for kinetic equations
- Complex systems & statistical mechanics: spin glasses, many-body behavior, emergent phenomena
- Quantum computing + generative AI: automating quantum circuit design
- Scientific software for experiments: reliable tools that help researchers focus on the physics
Monte Carlo particle methods for rarefied gas dynamics, from Bird's Direct Simulation Monte Carlo to Time Relaxed Monte Carlo schemes (after Pareschi & Russo). TRMC stays efficient as the Knudsen number goes to zero, where classical DSMC becomes prohibitively expensive. 📄 Accompanying self-contained report, written to be accessible to newcomers. 👉 Repository
Can generative AI design quantum circuits? This project explores Hamiltonian-conditioned ansatz generation for Variational Quantum Eigensolvers: a specialized VQE dataset built with a custom genetic algorithm, a Hamiltonian Transformer Encoder with efficient tokenization of Pauli operators, and fine-tuning of CirDiT (257M-parameter diffusion model) for circuit synthesis. 👉 [Repository](Temporarily unavailable (Reorganizing repository))
Python data management system and interactive GUI built during my internship at the RIXS (Resonant Inelastic X-ray Scattering) beamline of Synchrotron SOLEIL (Paris). It processes HDF5 data from CMOS detectors and lets scientists do spectral analysis, mathematical corrections and energy calibration in one place, with automated data cataloging that speeds up the beamline workflow for researchers and PhD students. 👉 Repository
Spin glass simulations and other computational physics experiments from my Master's coursework.
Also: Qiskit · Matplotlib · Scikit-learn · Wolfram Mathematica · MATLAB
- 🎓 M.Sc. Engineering Physics, Politecnico di Milano (statistical & computational physics)
- 🎓 B.Sc. Engineering Physics, Ca' Foscari University of Venice (110/110 cum laude)
- Former Beamline Scientist Intern at Synchrotron SOLEIL: Python tools and GUI for RIXS data analysis and detector calibration