Andrew Inglis
Deputy Principal Investigator, PHaSER Cooperative Agreement
Washington DC-Baltimore Area United States
Summary
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Senior🎓
Top SchoolAndrew Inglis is a senior research scientist and Deputy Principal Investigator at the PHaSER Cooperative Agreement, embedded at NASA Goddard via the Catholic University of America with over a decade of experience studying solar flares and space weather. He combines deep astrophysics expertise—50+ peer‑reviewed papers and 2000+ citations—with hands‑on data science skills in Python, IDL, FORTRAN and robust version control practices. A long‑time contributor and former board member of the influential SunPy project, he has improved backend data handling and developed utilities for mission datasets such as Fermi and LYRA. He supports multiple active NASA missions and helps design future X‑ray solar observatories, bringing both science leadership and program management experience. His work frequently applies Monte Carlo and Bayesian techniques for automated feature detection and oscillation analysis, reflecting a strong methodological focus. Internationally collaborative and experienced in grant writing and data curation, he bridges research, software development, and mission operations.
13 years of coding experience
PhD, Physics, PhD, Physics at University of Warwick
German, English
Github Skills (8)
fits10
sun10
pandas10
py10
python10
data-analysis10
astronomy9
jupyter-notebook8
Programming languages (5)
Github contributions (5)
sunpy/sunpy
Jul 2012 - Sep 2018
SunPy - Python for Solar Physics
Role in this project:
Back-end Developer
Back-end DeveloperContributions:179 commits, 8 PRs, 88 comments in 6 years 3 months
Contributions summary:Andrew primarily contributed to the backend of the SunPy project, making changes to the handling of data, including a bug fix and also introducing new functions and classes for processing data. The user added functions related to Fermi data processing and utility functions, and implemented improved tools for the Lyra lightcurve object, incorporating functions to extract and manipulate data. Further contributions were also focused on creating and improving SunPy region of interest (ROI) objects for data manipulation.
physicspythonsolarsimulationpython-3
aringlis/microflare_dem
Dec 2012 - Jul 2014
Contributions:46 commits in 1 year 7 months
aiadifferentialemissionmeasure
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