Ru 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.
9 years of coding experience
11 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 College
Data Science Full-time Bootcamp Data Science, Data Science Full-time Bootcamp Data Science at Flatiron School
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