About
Computational Fluid Dynamics | Numerical Modeling | Scientific Computing
Introduction
I am an MSc student in Aeronautical Engineering at Politecnico di Milano, with a strong focus on numerical methods and computational simulation. My academic and professional interest lies in the development and optimization of high-fidelity simulation pipelines, exploring the intersection of fluid dynamics, numerical analysis, and high-performance computing.
Experience & Projects
DynamisPRC - Formula Student Team
Politecnico di Milano
- CFD Subgroup Leader: Led the computational workflow for the aerodynamics department. I focused on optimizing simulation reliability, reducing turnaround time through process automation, and managing high-complexity mesh generation.
- Computational Modeling: Developed and validated numerical setups for vehicle components, focusing on solver stability and the correlation between CFD data and experimental results.
- Workflow Automation: Leveraged scripting to streamline post-processing and data analysis, ensuring a data-driven approach to performance evaluation.
Technical Stack
Scientific Computing & Data
- Languages: Python (NumPy, SciPy, Pandas), C/C++, Julia (basic), Matlab.
- Focus: Numerical integration, optimization algorithms, data visualization.
CFD & Numerical Simulation
- Solvers: OpenFOAM (advanced setup and execution), Star-CCM+.
- Preprocessing: ANSA (automated meshing), Siemens NX.
- Post-processing: Paraview, customized Python scripts.
Development Tools
- Environment: Linux (Advanced Bash scripting), Docker for reproducible environments.
- Version Control: Git / GitHub (CI/CD for simulation workflows).
Education
MSc in Aeronautical Engineering | Politecnico di Milano * Focus: Computational Fluid Dynamics, Numerical Methods for PDE. BSc in Aerospace Engineering | Politecnico di Milano
Get in Touch
I’m always interested in discussing numerical methods, CFD optimization, or high-performance computing.