Chris Jones
Research Fellow at Heriot-Watt University
City of Edinburgh, Scotland, United Kingdom
Summary
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Rockstar🎓
Top SchoolChris Jones is a research fellow and computational materials scientist with seven years of experience applying molecular dynamics and software engineering to soft-matter and polymer physics. He develops and maintains the MoSDeF suite at Heriot-Watt, enabling reproducible simulation workflows for applications from lipid bilayers to polymer membranes and organic photovoltaics. A PhD-trained researcher from Boise State, Chris combines hands-on simulation research with open-source engineering—improving test frameworks and automation for notable projects such as the HOOMD-blue GPU MD engine. He mentors early-career researchers in workflow automation and sustainable scientific software practices, bridging multidisciplinary teams of experimentalists and modelers. Beyond modeling charge transport and self-assembly, he has a proven knack for refactoring tests and optimizing code paths that improve scientific software reliability. Based in Edinburgh, he brings a pragmatic mix of research depth and production-quality software craftsmanship to materials-science problems.
6 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Materials Science, Doctor of Philosophy - PhD, Materials Science at Boise State University
Github Skills (9)
pytest10
python10
molecular-simulation10
nonlinear-dynamics10
om10
testing10
simulations9
simulation9
numpy8
Programming languages (10)
Github contributions (5)
glotzerlab/hoomd-blue
Mar 2022 - Apr 2022
Molecular dynamics and Monte Carlo soft matter simulation on GPUs.
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:5 commits, 3 PRs, 3 comments in 24 days
Contributions summary:Chris focused on improving the testing framework and ensuring the correctness of the molecular dynamics simulation software. Their contributions involved refactoring existing tests, adding new unit tests, and improving the test coverage of the `hoomd-blue` library. The user's work included modifying tests related to particle filters and adjusting calls to ensure proper function execution. They also replaced specific functions with more efficient equivalents, demonstrating an understanding of code optimization within the testing context.
pythonhard-particlesimulationmonte-carlodocker
chrisjonesBSU/polybinder-flow
Nov 2020 - Dec 2022
Contributions:129 pushes, 28 branches in 2 years 2 months
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