Jan Domanski
Snr Science Lead ML SWE at OpenFold
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolJan Domański is a senior machine learning and software engineering leader with 15 years of experience blending scientific rigor and production engineering to build drug-discovery and ML platforms. Currently Snr Science Lead ML/SWE at OpenFold after senior engineering and leadership roles at CHARM Therapeutics and co-founding Labstep, he specialises in taking research-grade models and infrastructure into reliable, cloud-native production. His background spans molecular simulation (PhD at Oxford, contributions to MDAnalysis and PLUMED) to large-scale developer tooling and performance improvements (Amazon, consultancy migrations), showing a rare mix of computational science and pragmatic software delivery. An active open-source contributor and QA-focused engineer (notably improving test coverage in FOSElasticaBundle), he emphasizes code quality, reproducible workflows and measurable velocity gains—once delivering 10–100x build/test improvements via strategic tooling changes.
15 years of coding experience
9 years of employment as a software developer
Master's degree, Master's degree at University of OxfordErasmus Computational chemistry, Erasmus Computational chemistry at University of Groningen
Stackoverflow
111reputation
12kreached
3answers
2questions
Github Skills (39)
data-visualizations10
c-language10
molecular-simulation10
python10
matplotlib10
testing10
data-visualisation10
mdanalysis10
plot10
phpunit10
php10
molecular-dynamics-simulation10
cplus10
nonlinear-dynamics10
cython10
Programming languages (16)
Github contributions (5)
olgabot/prettyplotlib
Dec 2013 - Jul 2014
Painlessly create beautiful matplotlib plots.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:6 commits in 7 months
Contributions summary:Jan primarily contributed to the `prettyplotlib` project by adding and improving plotting functionalities within the matplotlib library. They implemented a horizontal bar plot (barh) and included annotations and grid features. Moreover, the user added tests for the `barh` function and addressed a bug. The user also made a shift from _boxplot2 to beeswarm_ plot, enhancing the available plot options.
pythonmatplotlibdata-visualizationplottingplots
MDAnalysis/mdanalysis
Aug 2011 - Apr 2014
MDAnalysis is a Python library to analyze molecular dynamics simulations.
Role in this project:Back-end Developer
Back-end DeveloperContributions:1 review, 25 commits, 6 PRs in 2 years 8 months
Contributions summary:Jan primarily contributed to the MDAnalysis library by modifying and extending its core functionality, focusing on the `coordinates` and `topology` modules. They implemented features such as reading and writing PDB files with altloc support and guessing bonds from PDB structures. Additionally, they added support for the DMS format. A significant effort involved improving the PrimitivePDBReader and Writer, adding multiframe support. Furthermore, the user implemented parallel distance matrix computation using Cython.
molecular-dynamics-simulationmolecular-dynamics-simulationspython-librarypythonscience
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