I am a research assistant at Aarhus University 🇩🇰 in the Mechanics and Materials group. We are currently working on the application of Physics-Informed Machine Learning to the study of material stresses.
I recently graduated in Computational Science at EPFL 🇨🇭 after working on my master’s thesis at METAS, the Swiss institute of metrology. Previously, I received my bachelor’s degree in Mathematical Engineering at Polytechnic of Milan 🇮🇹.
When not working, I am passionate about mountaineering 🏔️, music 🎹 and cinematography 📽️.

Expertise

• Advanced mathematical analysis and modelling
• Numerical analysis for PDEs
• Machine Learning and Deep Learning
• Computational Fluid Dynamics
• Image Processing / Computer Vision
• Statistical Analysis
• High-performance, parallel and quantum computing

Programming languages

Advanced knowledge:

• C++ (STL, MPI, deal.II, Eigen …)
• Python (NumPy, SciPy, PyTorch, Pandas …)
• MATLAB
• CUDA
• FreeFem++
• COMSOL
• FEniCS
• ANSYS Fluent
• R
• C
• Bash shell

Good knowledge:

• C#
• Java
• AMPL
• JavaScript
• SolidWorks

Other utilities:

• Git, GitHub, LaTeX, Microsoft Office, Anaconda, Jupyter Notebook, Google Colab, Docker, Doxygen, Visual Studio
• OS: Microsoft Windows, Linux