Edgar Perez

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Summary

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Edgar Vidal is a PhD student and researcher in astrophysics at Tufts University who blends simulation-based inference and machine learning to accelerate inference for galaxy evolution and transient detection in large surveys like LSST. With hands-on experience from ZTF candidate vetting to nightly telescope observing and developing spectral analysis tools for Type Ia supernovae, he pairs practical observational skills with computational rigor. He has a background in nanophotonics research and a track record of award-winning ML-for-astronomy work from competitive hackathons. Outside academia he brings seven years of service and management experience in the restaurant sector, which informs his operational discipline and team leadership. Based in Greater Boston, Edgar focuses on building scalable, cost-effective data pipelines that make next-generation survey science more efficient and reproducible.
code7 years of coding experience
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Github Skills (8)

python10
optimization10
gaussian-processes10
visual-studio-code-extension4
blender3
activex3
windows1
windows-application1

Programming languages (4)

C#TypeScriptC++Python

Github contributions (5)

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A Python implementation of global optimization with gaussian processes.
Contributions:13 pushes, 2 branches in 5 months
perezed00/gslide_images_test

Dec 2022 - Dec 2022

Contributions:4 pushes in 1 day
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