πŸ”¬ Interests

  • πŸ€– Scientific Machine Learning β€” applying ML to physics and astronomy problems
  • πŸ–₯️ Computational Physics & Simulation β€” ray tracing, Monte Carlo methods, optical systems modeling
  • βš™οΈ Software Architecture β€” building robust, scalable systems for data-intensive scientific applications

🏫 Education

Degree Institution Period
MSc in Artificial Intelligence for Science and Technology University of Milan / Bicocca / Pavia 2025–Present
BSc in Physics (100/110) University of Milan 2021–2025
Scientific Diploma (100/100) I.I.S. Severi-Correnti, Milan 2016–2021

πŸ› οΈ Technical Skills

  • Languages: C++, Python, Julia, C, Nim
  • ML/Data: PyTorch, Scikit-learn, Pandas, NumPy, SciPy
  • Tools: Git, GitHub, Jupyter, LaTeX, Typst

πŸ“¬ Contacts

The best way to reach me is email. I’m also on GitHub where I host code for coursework and side projects.