Jorge Martínez-palomera

Assistant Research Scientist at University of Maryland Baltimore County

Berkeley, California, United States
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Summary

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Jorge Martínez-palomera is an astronomer and data scientist with 11 years of experience applying machine learning and high-performance computing to time-domain astronomy, specializing in light-curve classification and population-level statistical analysis. He combines a PhD in Astronomy and Astrophysics from Universidad de Chile with academic and research roles at UC Berkeley, the Bay Area Environmental Research Institute, and the University of Maryland Baltimore County. His work spans end-to-end pipelines—classification for discovery and annotation, complex visualizations, scalable databases, and HPC—to uncover the variability nature of stars and galaxies. Based in Berkeley and an avid mountain biker, he brings a pragmatic, research-driven approach that bridges cutting-edge ML techniques with production-ready scientific software.
code11 years of coding experience
bookDoctor of Philosophy - PhD, Astronomy and Astrophysics, Doctor of Philosophy - PhD, Astronomy and Astrophysics at Universidad de Chile
languagesEnglish, Spanish
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Stackoverflow

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Github Skills (31)

orbital-mechanics10
k29
astronomy9
core-library9
python9
astrophysics9
astrology9
astrodynamics9
solar-system9
science9
astropy8
kepler8
time-series8
image-processing8
spectra7

Programming languages (3)

ShellJupyter NotebookPython

Github contributions (5)

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jorgemarpa/SNe_spec

Nov 2019 - Jun 2022

Repo for analysis of Supernovae spectra
Contributions:3 PRs, 19 pushes, 3 branches in 2 years 7 months
pythonspectrasupernovae
jorgemarpa/psfmachine

Nov 2020 - Oct 2024

Tool kit for doing PSF photometry
Contributions:2 reviews, 3 PRs, 354 pushes in 3 years 11 months
pythonphotometrytool-kitpsfimage-processing
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Jorge Martínez-palomera - Assistant Research Scientist at University of Maryland Baltimore County