Rodrigo Boufleur

Posdoc Scientist at Observatório Nacional

Rio de Janeiro, Brazil
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Summary

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Rodrigo Boufleur is a postdoctoral scientist and data scientist based in Rio de Janeiro with over a decade of expertise in analyzing astrophysical time series and modeling periodic signals. He holds a Licentiate in Physics and an MS and PhD in Astrophysics, and has focused on small-body rotations, stellar variability, and exoplanet transit detection, including algorithm development during a PhD internship at DLR/PLATO. Rodrigo combines deep statistical know-how and mastery of period-search techniques (Fourier, phase dispersion) with practical software skills in Python, C, and R to deliver robust time-domain science products. He leads science-technology translation at LIneA/Observatório Nacional, where he also organizes and hosts an international webinar series with 40+ talks since 2020. Colleagues rely on him for trend-removal pipelines and systematic modeling that bridge theoretical rigor and reproducible code. He is inquisitive about new data-driven technologies and routinely brings research-grade methods into production-ready tools.
code8 years of coding experience
bookDoutorado em Astronomia, Astronomy and Astrophysics, Doutorado em Astronomia, Astronomy and Astrophysics at Observatório Nacional - MCTI
bookLicentiate degree, Physics, Licentiate degree, Physics at Universidade Estadual de Ponta Grossa
bookMestrado, Astronomy and Astrophysics, Mestrado, Astronomy and Astrophysics at Observatório Nacional
languagesPortuguese, English, Spanish, German
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Github Skills (5)

prediction3
python2
stellar2
documentation1
pipeline1

Programming languages (2)

HTMLPython

Github contributions (5)

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riogroup/SORA_docs

Feb 2021 - May 2021

Documentation for the SORA modules.
Contributions:1 review, 63 commits, 8 PRs in 3 months
sora
rcboufleur/SORA

Sep 2021 - Jul 2024

Contributions:102 pushes, 16 branches in 2 years 9 months
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Rodrigo Boufleur - Posdoc Scientist at Observatório Nacional