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.
11 years of coding experience
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at MIT
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Massachusetts Institute of Technology
Bachelor of Science - BS, Mechanical Engineering, Bachelor of Science - BS, Mechanical Engineering at Washington University in St. Louis
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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