Alejandro Bernardin
Leader Of The Technical Working Group On Modeling And Methodologies at Centramed SpA
Santiago, Santiago Metropolitan Region, Chile
Summary
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Senior🎓
Top SchoolAlejandro Bernardin is a physicist-turned-machine-learning and computational biology leader with 12 years of experience building models and production-ready tools for public health and environmental monitoring. He currently leads the Technical Working Group on Modeling and Methodologies at ECLIPSE Initiative while serving as CTO at Centramed, combining hands-on software engineering, infrastructure automation, and epidemiological modeling. His postdoctoral work produced the EPIc suite for COVID-19 modeling and public dashboards, and his open-source contributions to MDAnalysis reflect deep expertise in molecular dynamics tooling and scientific reproducibility. Comfortable bridging ministry-level policy work and low-level code, he routinely embeds statistical, dynamical-systems, and neuroscience insights into scalable analytics platforms.
12 years of coding experience
7 years of employment as a software developer
Bachelor in Science (B.Sc.), Physics, Bachelor in Science (B.Sc.), Physics at Universidad de ChileDoctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at Universidad de Valparaíso
English, Spanish
Stackoverflow
1,165reputation
2.5mreached
11answers
5questions
legend
top-5%
matplotlib
top-5%
Github Skills (13)
analyse10
computational-chemistry10
molecular-dynamics-simulation10
mdanalysis10
molecular-simulation10
python10
dynamics10
numpy9
matplotlib9
legend9
mathjax6
colorbar6
segmentation-fault6
Programming languages (5)
Github contributions (5)
MDAnalysis/mdanalysis
Nov 2013 - Apr 2017
MDAnalysis is a Python library to analyze molecular dynamics simulations.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 21 commits, 5 PRs in 3 years 6 months
Contributions summary:Alejandro primarily contributed to the MDAnalysis library by extending its functionality related to molecular dynamics simulations. They focused on enhancing the PDB reader and selection commands, adding new features like spherical layers and zones, and improving the "prop" geometric selection. The user also addressed Python 2.6 compatibility and improved documentation, particularly for the water dynamics module. These changes suggest a focus on improving the core analysis capabilities of the library.
mdanalysismolecular-dynamics-simulationpythonmolecular-dynamicsscience
naxo100/PISKa
Jan 2016 - Apr 2016
Contributions:30 commits in 3 months
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