π¬ Interests
- π€ Scientific Machine Learning β applying ML to physics and astronomy problems
- π₯οΈ Computational Physics & Simulation β ray tracing, Monte Carlo methods, optical systems modeling
- βοΈ Software Architecture β building robust, scalable systems for data-intensive scientific applications
π« Education
| Degree | Institution | Period |
|---|---|---|
| MSc in Artificial Intelligence for Science and Technology | University of Milan / Bicocca / Pavia | 2025βPresent |
| BSc in Physics (100/110) | University of Milan | 2021β2025 |
| Scientific Diploma (100/100) | I.I.S. Severi-Correnti, Milan | 2016β2021 |
π οΈ Technical Skills
- Languages: C++, Python, Julia, C, Nim
- ML/Data: PyTorch, Scikit-learn, Pandas, NumPy, SciPy
- Tools: Git, GitHub, Jupyter, LaTeX, Typst
π¬ Contacts
The best way to reach me is email. Iβm also on GitHub where I host code for coursework and side projects.