Jorge Martínez-palomera
Assistant Research Scientist at Bay Area Environmental Research Institute
Berkeley, California, United States
Summary
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Senior🎓
Top SchoolJorge 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.
11 years of coding experience
Doctor of Philosophy - PhD, Astronomy and Astrophysics, Doctor of Philosophy - PhD, Astronomy and Astrophysics at Universidad de Chile
English, Spanish
Stackoverflow
1reputation
0reached
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Github Skills (24)
tool-kit10
k29
astronomy9
core-library9
python9
astrophysics9
solar-system9
science9
kepler9
astropy8
time-series8
image-processing8
spectra7
solar6
disk6
Programming languages (3)
Github contributions (5)
jorgemarpa/repo-template
Apr 2024 - Apr 2025
Template repository for future projects
Contributions:5 releases, 5 PRs, 38 pushes in 1 year
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
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