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Stephanie Juneau

As an Associate Astronomer at NSF's NOIRLab, and a Survey Data Scientist at the Data Lab, I work at the cross-section of astrophysics and data science. My expertise is primarily on the topic of distant galaxies and black holes, and I am involved in large astronomical surveys that will yield unprecedented datasets including the largest 3-D map of the universe which will be constructed using 40 million galaxy and quasars. I am especially interested in using Jupyter as part of analysis workflows for astronomy, which we have started implementing for professional astronomers as well as for training students. I am looking to share experiences, ideas, lessons learnt, and a wishlist for Jupyter features that will further enhance science platforms via efficient analysis and visualization of large datasets.


Jupyter-enabled astrophysical analysis for researchers and students

Monday Oct. 12, 2020, 4:30 p.m.–Oct. 12, 2020, 5 p.m. in Jupyter in Scientific Research