Marijan Beg
Senior Teaching Fellow at Imperial College London
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolMarijan Beg is a computational physicist and Senior Teaching Fellow in London with 14 years of experience applying numerical methods and software engineering to problems in computational magnetism, topological quasi-particles and data-driven science. He designs and teaches MSc modules on Python, numerical programming and big data analytics while supervising MSc and PhD projects and developing automated grading, educational chatbots and reproducible research tools. His research blends finite-element, finite-difference and Monte Carlo methods with domain-specific tooling (including Python interfaces for micromagnetic codes and Jupyter integrations) to accelerate discovery in skyrmionics. Beyond academia, he contributes practical research software and educational platforms that bridge high-performance simulation, reproducible workflows and classroom-ready tooling.
14 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computational Physics, Doctor of Philosophy - PhD Computational Physics at University of SouthamptonMaster of Education - MEd University Learning and Teaching, Master of Education - MEd University Learning and Teaching at Imperial College Londondipl. ing. - BSc (Hons) Electrical and Computer Engineering, dipl. ing. - BSc (Hons) Electrical and Computer Engineering at Faculty of Technical Sciences, University of Novi Sad
Croatian, English, German
Github Skills (92)
tuple10
python10
computational-science10
windows10
zenodo10
forge10
scientific-computing10
calculator10
conda-forge10
linux10
latex10
hpc-applications10
finite-difference10
wolfram-language10
jupyter10
Programming languages (6)
Github contributions (5)
conda-forge/oommfc-feedstock
Mar 2018 - Jan 2021
A conda-smithy repository for oommfc.
Contributions:35 PRs, 17 pushes, 22 comments in 2 years 9 months
condasmithy
ubermag/micromagneticmodel
Jul 2016 - Jun 2022
Python-based domain-specific language for computational magnetism.
Contributions:1 release, 7 reviews, 446 commits in 5 years 11 months
pythonpypisimulationanacondalatex
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