Laura Hayes

Royal Society-Research Ireland University Research Fellow at Dublin Institute for Advanced Studies

Dublin, Ireland
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Summary

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Laura Hayes is a Royal Society-Research Ireland University Research Fellow and solar physicist with 11 years’ experience combining X-ray, radio, EUV and in-situ data to probe high-energy processes in solar flares, with particular expertise using Solar Orbiter/STIX observations to study quasi-periodic pulsations. She has held research positions at ESA and NASA Goddard, teaches as an Adjunct Assistant Professor, and brings a strong computational practice as a SunPy back-end developer who implemented Fermi/GBM data access tools for a flagship open-source solar physics library. Her work spans space weather forecasting, ionospheric impacts of flares, and the solar–stellar flare connection, blending observational analysis with reproducible, open-source software. Based in Dublin, she pairs a PhD in Physics from Trinity College Dublin with a track record of translating complex instrument data into accessible tools and scientific insight.
code11 years of coding experience
job5 years of employment as a software developer
bookBachelor of Arts (B.A.), Theoretical Physics, Bachelor of Arts (B.A.), Theoretical Physics at Trinity College, Dublin
bookDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Trinity College Dublin
languagesEnglish, Spanish, Irish
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Github Skills (10)

sun10
astropy10
hdf10
netcdf10
py10
python10
data-retrieval10
data-analysis9
time-series9
fits9

Programming languages (9)

IDLCSSCTeXSCSSPrologHTMLJupyter Notebook

Github contributions (5)

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sunpy/sunpy

Mar 2019 - Oct 2022

SunPy - Python for Solar Physics
Role in this project:
userBack-end Developer
Contributions:187 reviews, 305 commits, 52 PRs in 3 years 7 months
Contributions summary:Laura implemented features related to data retrieval from the Fermi/GBM instrument, including creating classes for handling detector data and a client for downloading the data. Their contributions focused on building tools for accessing and processing data within the SunPy framework, particularly relating to the specific instruments and data types supported by the project. The user's work also involved incorporating external libraries, such as `h5netcdf`, for handling specific data formats and integrating scraping for data retrieval.
physicspythonsolarsimulationpython-3
hayesla/sunpy-soar

Jan 2022 - Jan 2025

A sunpy plugin for accessing data in the Solar Orbiter Archive (SOAR).
Contributions:42 pushes, 8 branches in 3 years
soarsolararchivesunpysolar-orbiter
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