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.
11 years of coding experience
Doctor of Philosophy - PhD, Astronomy and Astrophysics, Doctor of Philosophy - PhD, Astronomy and Astrophysics at Universidad de Chile
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