Sheila Sagear
Postdoctoral Researcher at University of Florida
Gainesville, Florida, United States
Summary
👤
Senior🎓
Top SchoolSheila Sagear is an Astrophysics PhD and data scientist with nine years of experience applying Bayesian hierarchical modeling and machine learning to exoplanet and stellar-kinematics problems. As a Graduate Research Assistant at the University of Florida she led development of the open-source photoeccentric Python package and used Kepler time-series data to constrain exoplanet orbital eccentricities, work published in PNAS. She also spent time as a predoctoral fellow at the Flatiron Institute where she created the zoomies package to infer kinematic stellar ages from Gaia data, demonstrating a knack for translating complex statistical methods into user-friendly tools. Her background spans high-energy ML at CERN and software contributions to NASA Ames projects, blending rigorous research with production-ready code. Based in Gainesville, she brings both deep domain expertise in astrophysics and practical software craftsmanship to interdisciplinary data challenges.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Arts - BA, Astronomy and Physics, Bachelor of Arts - BA, Astronomy and Physics at Boston UniversityDoctor of Philosophy - PhD, Astronomy, Doctor of Philosophy - PhD, Astronomy at University of Florida
Github Skills (12)
k29
pdf9
kepler8
astronomy8
astrophysics7
python7
bayesian-inference7
gaussian-processes7
mcmc7
time-series7
cosmology4
simulation1
Programming languages (3)
Github contributions (5)
ssagear/lightkurve
Jun 2018 - Oct 2024
A beautiful package for Kepler, K2, and TESS flux time series analysis in Python.
Contributions:82 pushes, 3 branches, 1 tag in 6 years 5 months
tesspythontime-series-analysiskeplerflux
ssagear/ssagear.github.io
Oct 2020 - May 2026
Contributions:53 pushes, 1 branch in 5 years 7 months
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