Julia Gschwend

Rio de Janeiro, Brazil
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Summary

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Senior
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Top School
Julia Gschwend is a Data Scientist and astrophysicist with a decade of experience building big-data analysis tools for astronomy, currently leading software efforts at LIneA and contributing to the LSST IDAC-Brazil project. She holds a PhD in Astrophysics from Observatório Nacional and a licentiate degree in Physics from UERJ, combining deep domain knowledge with practical software engineering. Her work focuses on scalable pipelines and analysis platforms that enable large survey science, translating complex astronomical requirements into production-ready code. Based in Rio de Janeiro, she brings a research-first mindset to collaborative, interdisciplinary teams and long-running open projects. Notably, her background in physics and astronomy informs a strong emphasis on reproducibility and data integrity in scientific software.
code10 years of coding experience
bookLicentiate degree, Physics, Licentiate degree, Physics at UERJ
bookPh. D., Astrophysics, Doctor in Astronomy, Ph. D., Astrophysics, Doctor in Astronomy at Observatório Nacional
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Stackoverflow

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Github Skills (22)

read-write9
tabular9
infrastructure7
csv7
jupyter-notebook5
rio5
photo5
jupyterhub5
quantile4
python4
nim-language4
documentation4
lottery3
fuzzy-logic3
refactoring3

Programming languages (9)

JinjaShellsedTeXMakefileJavaScriptHTMLJupyter Notebook

Github contributions (5)

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linea-it/jupyterhub-tutorial

Sep 2021 - Apr 2026

Jupyter Notebooks com tutoriais de apoio ao usuário do serviço LIneA JupyterHub.
Contributions:13 reviews, 27 PRs, 86 pushes in 4 years 7 months
jupyter-notebookjupyterhub
linea-it/pzserver

Jul 2022 - Feb 2026

Python library to access data from the Photo-z Server, a service available to the Rubin Science Platform users.
Contributions:2 releases, 32 reviews, 52 PRs in 3 years 7 months
python
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