Hossein Ghorbanfekr
Computational Scientist
Antwerp, Antwerp, Belgium
Summary
👤
Senior🎓
Top SchoolHossein Ghorbanfekr is a computational scientist with 10 years of experience applying high-performance computing and machine learning to molecular simulation and materials discovery. Currently at imec, he develops ML-driven molecular dynamics workflows for biomolecular systems aimed at accelerating drug discovery. His background spans HPC platform engineering and data science at VITO—where he deployed GPU clusters, trained domain-specific LLMs, and built real-time ML pipelines for imaging and waste sorting—through to academic work on neural network potentials for 2D materials during a PhD and postdoc at the University of Antwerp. He combines low-level performance tuning (C/C++/Fortran optimizations, MPI) with modern ML stacks (PyTorch, TensorFlow) and hands-on cluster ops (SLURM, Kubernetes). Notably, he contributes open-source tools for MD workflows and neural network potential development, bridging reproducible research and production-ready HPC. Based in Antwerp, he brings a rare mix of computational physics rigor and production ML/HPC engineering to interdisciplinary research problems.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at University of AntwerpBachelor of Science Physics, Bachelor of Science Physics at University of GuilanMaster of Science Physics, Master of Science Physics at Sharif University of Technology
persian (farsi), English, Dutch
Github Skills (13)
raspberry6
hpc-cluster6
simulations6
simulation6
dynamics6
physics5
computational-physics5
raspberry-pi3
deep-learning3
machine-learning3
scalable3
neural-network2
hpc2
Programming languages (3)
Github contributions (5)
hghcomphys/nnp
May 2019 - Feb 2021
Contributions:203 commits, 8 pushes, 2 branches in 1 year 8 months
hghcomphys/hghcomphys.github.io
May 2021 - Jun 2024
Contributions:60 pushes, 1 branch in 3 years 1 month
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