Marco Musy is an associate professor and researcher with a deep physics pedigree—12 years at CERN, Fermilab and multiple European universities—who pivoted into quantitative life-sciences research at EMBL and CRG, now teaching at Elisava in Barcelona. He brings strong expertise in statistical data analysis, detector simulation, error evaluation and neural-network methods, combined with practical software skills in C++, Fortran and Python and cross-platform system administration. Marco contributes to open-source scientific visualization (notably improving vedo's volumetric mesh and rendering capabilities), reflecting hands-on experience with 3D geometry and volumetric data processing. His profile blends high-energy physics rigor with bioinformatics and design engineering teaching, enabling translation of complex computational techniques into applied research and pedagogy.
8 years of coding experience
15 years of employment as a software developer
Physics, Elementary Particle Physics, Physics, Elementary Particle Physics at University of Trieste
Ph.D., Physics, Ph.D., Physics at Sapienza Università di Roma
A python module for scientific analysis of 3D data based on VTK and Numpy
Role in this project:
Back-end Developer & 3D Visualization Specialist
Contributions:57 releases, 3 reviews, 944 commits in 5 years 3 months
Contributions summary:Marco contributed to the vedo library by fixing bugs, introducing new features, and maintaining existing functionality. The commits show a focus on improving the 3D visualization capabilities of the library, specifically in the areas of tetrahedral mesh processing, rendering, and the inclusion of utility methods like the integration of new tools. This work demonstrates expertise in handling volumetric data, 3D geometry, and software maintenance practices.
Contributions:4 releases, 81 commits, 5 PRs in 3 years 7 months
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