Summary
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.
8 years of coding experience
Doutorado em Astronomia, Astronomy and Astrophysics, Doutorado em Astronomia, Astronomy and Astrophysics at Observatório Nacional - MCTI
Licentiate degree, Physics, Licentiate degree, Physics at Universidade Estadual de Ponta Grossa
Mestrado, Astronomy and Astrophysics, Mestrado, Astronomy and Astrophysics at Observatório Nacional
Portuguese, English, Spanish, German