Brooke Simmons
Professor In Astrophysics at Lancaster University
Lancaster, England, United Kingdom
Summary
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Senior🎓
Top SchoolBrooke Simmons is a Professor in Astrophysics at Lancaster University with 12 years of experience turning vast, time-sensitive astronomical datasets into scientific insight. She leads multiple teams within the Zooniverse ecosystem—building the Data Analysis Group, the Transients Group, and the Planetary Response Network—to help researchers and citizen scientists extract value from survey and Hubble-class data. Her research spans galaxy evolution, supermassive black holes, and the changing sky, and her group applies machine learning and novel data techniques to real-time and variable phenomena. A former Einstein Fellow at UC San Diego and postdoc at Oxford, she pairs deep academic credentials with practical data-science consulting experience. Based in Lancaster, UK, she combines scholarly leadership with hands-on platform design for large-scale citizen science, ensuring complex pipelines produce usable, actionable results. An often-overlooked strength is her track record of translating volunteer-generated labels into robust, publishable datasets that drive both research and humanitarian responses.
13 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Astronomy, Doctor of Philosophy - PhD, Astronomy at Yale UniversityA.B., Astrophysical Sciences, A.B., Astrophysical Sciences at Princeton University
Github Skills (43)
utility10
visualization9
frontend9
zoo8
galaxy8
science6
api6
docker6
classification6
ruby6
nodejs5
python5
ccd5
keras-tensorflow4
data-science4
Programming languages (9)
Github contributions (5)
vrooje/gzcandels_datapaper
May 2014 - Oct 2016
Contributions:157 commits, 9 PRs, 123 pushes in 2 years 5 months
data-releasegalaxygalaxy-zoozoocollaborative
vrooje/panoptes_analysis
Nov 2015 - Jul 2016
Tools for analysis of classification and subject data from github.com/zooniverse/Panoptes
Contributions:15 commits, 1 PR, 14 pushes in 7 months
classification
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