Shahab Golshan
Senior Data Scientist
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolShahab Golshan is a Senior Data Scientist based in Montreal with six years of experience building hybrid mechanistic–data-driven solutions for engineering and biotech challenges. He combines deep expertise in CFD, multiphase systems, and mechanistic modeling with production-grade C++ and Python development—work that ranges from MPI-parallel discrete element solvers to hybrid deep-learning CFD couplers. At Amgen he progressed from CFD engineer to senior data scientist, applying ML to optimize complex bioprocesses, while his academic posts produced high-performance simulation tools for melt-pool and rotating packed bed problems. Shahab’s background bridges rigorous PhD-level research in chemical engineering with practical software engineering, making him adept at translating physical models into scalable, deployable code. Colleagues describe him as someone who thrives on marrying first-principles models with ML to solve real-world process engineering problems.
6 years of coding experience
8 years of employment as a software developer
Polytechnique MontréalDoctor of Philosophy - PhD, Chemical Engineering, Doctor of Philosophy - PhD, Chemical Engineering at University of Tehran
English, Persian, French
Github Skills (7)
simulation10
computational-fluid-dynamics10
snl-applications10
multiphysics10
modeling-tool10
modeling10
computational-science10
Programming languages (2)
Github contributions (5)
shahabgol/dealii
Jun 2020 - Jun 2020
The development repository for the deal.II finite element library.
Contributions:3 pushes, 1 branch in 2 days
dealfinite
chaos-polymtl/lethe
Jun 2020 - Aug 2022
Repository for the open-source lethe CFD/DEM/CFD-DEM project
Contributions:401 reviews, 128 commits, 118 PRs in 2 years 2 months
cfdsnl-applicationsmultiphysicscfd-demsimulation
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