Robin Greif is a founder and quantitative software engineer based in Oxford with nine years of experience building high-performance ML and numerical systems for finance, fusion research, and AI-driven products. He combines a physics-first PhD background (Max Planck/Oxford) with hands-on engineering in Python, Rust, CUDA and distributed HPC to deliver practical, physics-preserving AI that has achieved orders-of-magnitude speedups in turbulence simulation. Currently consulting on structured product pricing, AI strategy/deployment and market analytics, he spans work from Raspberry Pi prototypes to InfiniBand HPC clusters and cloud deployments on AWS/GCP. An active open-source contributor, he has improved tooling like the popular word_cloud project and helped refactor differentiable PDE frameworks (PhiFlow), reflecting both pragmatic UX tweaks and deep backend restructuring. Known for preferring functional paradigms and pushing numerical performance (Numba/Cython/AVX), he also brings unusual breadth—ranging from fusion reactor design to digitizing historical texts with multimodal LLMs.
8 years of coding experience
6 years of employment as a software developer
Master of Science (MSc), Physics, Master of Science (MSc), Physics at Heidelberg University
Bachelor of Arts (BA), Physics, Bachelor of Arts (BA), Physics at University of Chicago
Dr. rer. nat., Computer Science, Dr. rer. nat., Computer Science at Technische Universität München (Technical University of Munich)
Computational Physics (Master's), Computational Physics (Master's) at Goethe University Frankfurt
UChicago Careers in Business
International Baccalaureate Bilingual Diploma, Abitur, Highschool Diploma, IGCSE's, International Baccalaureate Bilingual Diploma, Abitur, Highschool Diploma, IGCSE's at Internationale Schule Frankfurt
A differentiable PDE solving framework for machine learning
Role in this project:
Back-end Developer
Contributions:1 review, 141 commits, 6 PRs in 1 year 6 months
Contributions summary:Robin primarily focused on refactoring and improving the codebase, indicated by their changes related to restructuring files, moving code, and updating import statements. They made several commits aimed at consolidating and organizing code, such as moving files into a `physics` directory. The user also made contributions related to improving documentation in Jupyter notebooks.
Contributions:19 commits, 1 PR, 1 comment in 4 days
Contributions summary:Robin primarily contributed to the enhancement of the word_cloud library by adding new features and improving existing ones. They implemented the `include_numbers` and `min_word_length` parameters to provide more flexible text processing options. Furthermore, the user wrote example files to demonstrate the usage of the new features, and included related tests. Additionally, the user made code formatting adjustments and corrected file endings.
pythondjangowordcloudword-cloudpython3
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.