Jae-joon Lee
Research Scientisit at Korea Astronomy & Space science Institute
Jung District, Daejeon, South Korea
Summary
👤
Senior🎓
Top SchoolJaejoon Lee is a Senior Research Engineer at Hyundai Motor Group in Seoul, focusing on high power density electric motor development and numerical optimization methods. He earned a PhD in Engineering Mechanics from GIST and a B.S. and M.S. in aerospace and mechanical engineering from Korea Aerospace University. Since 2022, he has been advancing motor design at Hyundai while applying advanced numerical techniques to optimize performance. An active open-source contributor, he has notable matplotlib contributions—including updating legend handling for side-by-side multiple handles, refining the xdescent interpretation in HandlerNpoints, correcting a demo pie chart, and improving documentation and rasterization. Based in Seoul with 16 years of experience, he brings together academic rigor, automotive R&D, and software tooling to deliver practical, scalable electric motor solutions.
17 years of coding experience
Doctor of Philosophy (PhD), Astronomy, Doctor of Philosophy (PhD), Astronomy at 서울대학교 / Seoul National University
Github Skills (9)
data-visualizations10
data-visualization10
data-visualisation10
python10
plot10
plots10
matplotlib10
numpy8
data-science6
Programming languages (6)
Github contributions (5)
matplotlib/matplotlib
Nov 2008 - Nov 2022
matplotlib: plotting with Python
Role in this project:
Software Engineer
Software EngineerContributions:13 reviews, 444 commits, 8 PRs in 14 years 2 months
Contributions summary:Jae-joon contributed to the matplotlib library by addressing several issues. They modified the legend handler to display multiple handles side-by-side. They also fixed an issue related to the interpretation of the xdescent value in `HandlerNpoints`. Additionally, the user corrected a pie chart in the demo_agg_filter example and made minor doc updates. Finally, they addressed issues related to artist rasterization.
pythondata-sciencegtkdata-visualizationplotting
igrins/plp
Jun 2014 - Jun 2022
IGRINS pipeline package v3
Contributions:9 releases, 508 commits, 5 PRs in 8 years 2 months
bioinformaticspipelineworkflow
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