Reed Essick

Assistant Professor at Canadian Institute for Theoretical Astrophysics

Old Toronto, Ontario, Canada
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Summary

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Reed Essick is an Assistant Professor at the Canadian Institute for Theoretical Astrophysics with 11 years of research experience applying modern statistical and machine learning methods to astrophysical problems. A physicist by training (PhD, MIT) with a BS in Mechanical Engineering, he specializes in Bayesian inference, nonparametrics, hierarchical models, and the use of gravitational waves and multi-messenger observations to probe dense-matter equations of state and test fundamental physics. He has held research positions at Perimeter Institute and the Kavli Institute for Cosmological Physics, blending theoretical insight with practical data-analysis tool building. Reed maintains an active code presence on GitHub and a sustained publication record on arXiv and NASA ADS, reflecting a commitment to open, reproducible science. Colleagues describe him as someone who leverages cross-disciplinary engineering intuition to design statistical approaches that reveal subtle astrophysical signals.
code11 years of coding experience
bookDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at MIT
bookDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Massachusetts Institute of Technology
bookBachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at Washington University in St. Louis
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Github Skills (29)

eos8
wave8
segment6
python6
astronomy6
hosting5
java4
faunadb4
client-server4
arangodb3
database3
data-quality3
signal-processing3
code-structure3
dtw3

Programming languages (3)

SCSSJupyter NotebookPython

Github contributions (5)

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reedessick/universality

Jan 2018 - Jan 2023

an investigation into the application of universal, EOS-independent relations in Gravitational Wave astronomy
Contributions:36 commits, 29 PRs, 679 pushes in 5 years 1 month
investigationrelationsgravitationalindependentwave
reedessick/skymap_statistics

Mar 2015 - Jul 2022

simple module and exectutables to quantify skymaps and compare them
Contributions:20 reviews, 5 commits, 1 PR in 7 years 5 months
python
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