Mark Richardson

Associate Director, Operations (Research Centres & Institutes)

Kingston, Ontario, Canada
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Summary

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Senior
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Top School
Mark Richardson is an operations and research leader at Queen's University with 13 years of experience bridging computational astrophysics, education, and public outreach. He develops and analyzes large hydrodynamic galaxy simulations to probe feedback-driven galaxy evolution, and has contributed backend fixes to the well-known yt project—improving RAMSES support and particle/time handling for cosmological runs. In institutional roles he directs operations for research centres, while previously managing education and outreach at the Arthur B. McDonald Institute and teaching numerical astrophysics at the graduate level. His MEd research into museum inquiry self-efficacy informs a rare blend of rigorous science communication and data-driven visualization skills for both immersive 3D environments and public engagement. Outside work he applies the same curiosity and persistence to rock climbing, puzzles, and long-distance cycling.
code13 years of coding experience
job2 years of employment as a software developer
bookBachelor of Science (BSc) Astrophysics, Bachelor of Science (BSc) Astrophysics at Saint Mary's University
bookDoctor of Philosophy (Ph.D.) Astrophysics, Doctor of Philosophy (Ph.D.) Astrophysics at Arizona State University
bookMaster of Education - MEd Museums Inquiry Self-Efficacy, Master of Education - MEd Museums Inquiry Self-Efficacy at Queen's University
languagesEnglish, French
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Github Skills (10)

cosmology10
python10
astrophysics10
scientific-computing10
data-analysis10
numpy9
data-structure9
data-structures9
fortran8
finite-element-analysis6

Programming languages (4)

JavaScriptJupyter NotebookRubyPython

Github contributions (5)

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yt-project/yt

Jan 2013 - Aug 2016

Main yt repository
Role in this project:
userBack-end Developer
Contributions:16 commits, 12 comments, 1 issue in 3 years 7 months
Contributions summary:Mark primarily focused on improving the RAMSES frontend within the yt project. Their work included fixing particle age calculations, adding deposit methods, optimizing the age calculation process, and correcting issues related to cosmological simulations. The user’s contributions involved modifying data structures and I/O handling within the RAMSES frontend, as well as particle field functionalities. They also addressed bugs and made adjustments to ensure accurate time calculations within the simulations.
pythondatafinite-element-analysisgeophysicsnuclear-engineering
mlarichardson/CosmosCanvas

Oct 2020 - Mar 2022

A library that incorporates Gilles Ferrand's colourspace, creating useful colour maps for different astrophysical properties.
Contributions:37 commits, 6 PRs, 34 pushes in 1 year 5 months
colourspacepropertiescolour
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Mark Richardson - Associate Director, Operations (Research Centres & Institutes)