Joseph Farah
Ph.D. Student at Las Cumbres Observatory
Goleta, California, United States
Summary
👤
Senior🎓
Top SchoolJoseph Farah is an astrophysicist and Ph.D. student at UC Santa Barbara with a decade of experience in VLBI imaging, supernova physics, and strong-field gravity. He contributed to the Event Horizon Telescope Collaboration’s first images of black holes—serving as lead author on a key Sgr A* paper—and co-led the discovery of the first chirping supernova, revealing Lense-Thirring precession driven by a millisecond magnetar. His work blends observational radio astronomy, VLBI imaging tool development (notably contributions to eht-imaging), and Bayesian and machine-learning methods for astrophysical inference. A two-time Apker finalist, Breakthrough Prize co-recipient, and NSF GRFP awardee, he will join UC Berkeley as a Miller Postdoctoral Fellow to pursue precision probes of compact objects via superluminous supernovae and the photon ring. An uncommon strength is combining hands-on imaging-software improvements with high-impact theoretical and observational discoveries.
10 years of coding experience
Physics B.S., Astrophysics, Physics B.S., Astrophysics at UMass BostonDoctor of Philosophy - PhD, Astrophysics, Doctor of Philosophy - PhD, Astrophysics at UC Santa Barbara
Stackoverflow
2,481reputation
346kreached
69answers
15questions
python
top-5%
background-process
top-1%
windows
top-5%
Github Skills (15)
data-visualizations10
data-visualization10
data-visualisation10
python10
background-process10
matplotlib10
scientific-computing9
windows9
image-processing7
scientific-notation6
pandas6
tkinter6
plot6
colorbar6
jinja26
Programming languages (5)
Github contributions (5)
achael/eht-imaging
Jul 2018 - Jan 2021
Imaging, analysis, and simulation software for radio interferometry
Role in this project:
Back-end Developer
Back-end DeveloperContributions:29 commits, 16 PRs, 7 comments in 2 years 6 months
Contributions summary:Joseph primarily focused on enhancing the `comparisons.py` script within the repository, adding new functionalities, and fixing existing bugs. Their contributions involved adding a function, fixing an iteration error, and implementing matplotlib aesthetics. Furthermore, the user incorporated color cycles, comments, and conditional graph display features, improving the visualization aspects of the project's core functionality.
pythonanalysissimulationimaginginterferometry
jrfarah/jrfarah
Aug 2017 - Aug 2023
Contributions:77 pushes, 1 branch in 6 years
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