simone melchionna

Backend: experienced in developing successfull industry-standard packages with extended polyglottism: the right tool at the right spot.
Extended usage of mainstream technos, compiled languages (C, Fortran), code packaging, end-user deployment, continuous integration with Jenkins, and Dockerization.

Frontend: employ Python/Qt technology for UI and 3D visualization toolkits (VTK).

Python projects for datascience, ML and AI, in-depth knowledge of mainstream packages (numpy, pandas, scikit, pytest, ...)

Digital Twin: Algorithmics for computational engineering, physical-chemistry, medical.

Computational fluid dynamics (CFD) in multiple flavors with applications to CFD and multiphysics.

Particle dynamics, Molecular Dynamics, Discrete Element Method with applications to biomolecular and cellular simulations.

Imaging: all major strategies and algorithmics for segmentation, registration and reconstruction.