Ru Keïn
Senior Astronomical Data Scientist
Baltimore, Maryland, United States
Summary
👤
Senior🎓
Top SchoolRu Keïn is a Senior Astronomical Data Scientist with nine years of experience building and operationalizing large data pipelines for space telescopes at the Space Telescope Science Institute. He specializes in machine learning for instrument automation and process improvement, having developed neural classifiers and time-series pipelines applied to K2 and TESS data during his data-science training. Comfortable bridging research and production, Ru has a track record of turning astrophysical signals into actionable products and tools (including a custom "spacekit" library and high-accuracy exoplanet and pulsar models). His background in product design and creative direction informs pragmatic, user-centered solutions that boost adoption and reduce support overhead. Based in Baltimore, he pairs technical depth—now augmented by graduate studies in computer science and AI at Johns Hopkins—with a creative streak in music and storytelling that often inspires unconventional data insights.
10 years of coding experience
14 years of employment as a software developer
Bachelor’s Degree, International Political Economy, French Language & Literature, Bachelor’s Degree, International Political Economy, French Language & Literature at Bates CollegeData Science Full-time Bootcamp, Data Science, Data Science Full-time Bootcamp, Data Science at Flatiron SchoolComputer Science, Artificial Intelligence, Computer Science, Artificial Intelligence at Johns Hopkins Whiting School of EngineeringSt. Mark's School
French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (31)
asdf10
james10
python10
astronomy10
reference-files10
telescope10
calibration10
controlled10
science9
machine-learning8
dms8
data-science8
testing7
mirai-bot6
astropy6
Programming languages (8)
Github contributions (5)
spacetelescope/spacekit
Aug 2020 - Dec 2022
Python package for astronomical machine learning and data science
Contributions:25 releases, 1 review, 289 commits in 2 years 3 months
data-sciencemachine-learningpython
hakkeray/rules-for-derivatives-lab-ds-apply-000
Sep 2019 - Sep 2019
Contributions:327 pushes, 1 branch in 1 day
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