Jordane Preto

Postdoctoral Researcher at Forschungszentrum Jülich

Lyon, Auvergne-Rhône-Alpes, France
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Summary

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Senior
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Top School
Jordane Preto is a computational biochemist and postdoctoral researcher with over 11 years of experience applying structure-based drug design and machine learning to drug discovery. Holding a PhD in theoretical physics, he combines deep quantitative modeling, molecular dynamics expertise, and Python development to generate experimentally validated predictions that have repeatedly guided active-compound identification and mechanistic insight. His career spans academic and industry roles across Europe and Canada, where he has led collaborative, multidisciplinary projects and translated complex simulations into actionable hypotheses. Known for bridging theoretical rigor with practical drug-discovery impact, he often leverages custom computational pipelines to accelerate target-focused screening and mechanistic interpretation.
code11 years of coding experience
job6 years of employment as a software developer
bookBachelor of Science - BS Physics, Bachelor of Science - BS Physics at Université Henri Poincaré, Nancy 1
bookDoctor of Philosophy - PhD Theoretical Physics, Doctor of Philosophy - PhD Theoretical Physics at Aix-Marseille University
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Github Skills (6)

python6
molecular-simulation5
molecular-dynamics-simulation5
science5
computational-chemistry5
mdanalysis2

Programming languages (1)

Python

Github contributions (5)

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jp43/MDKit

Feb 2018 - Oct 2022

ToolBox to prepare MD simulations with Amber
Contributions:1 PR, 40 pushes, 3 branches in 4 years 8 months
fgentile89/DockBox

May 2019 - May 2019

Python package to facilitate the use of popular docking software
Contributions:24 commits in 6 days
python
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