Ref Bari

Binary Black Hole Researcher at T-REX: Time Resolving Explorer Satellite

Village of Lynbrook, New York, United States
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Summary

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Senior
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Top School
Ref Bari is a multidisciplinary physicist and AI researcher with 11 years of experience bridging theoretical astrophysics, space instrumentation, and machine learning. Currently a Binary Black Hole Researcher at Brown University funded by an NSF Neural DynAMO grant, he applies non-equilibrium thermodynamics to characterize gravitational-wave dissipation and leads the T-REX team aiming to capture the first-ever video of a black hole as a NASA NIAC-finalist PI. He has hands-on experience building deep learning models for quantum spin qubit control and computational-chemistry analyses of Hycean exoplanet habitability, demonstrating fluency across simulation, data-driven control, and mission-scale systems. A CCNY BS physics graduate (3.95 GPA) now pursuing an MS at Brown, Ref combines rigorous analytical training with practical leadership mentoring student teams across Brown and Columbia. Notably, his portfolio spans both lab-scale AI for quantum devices and ambitious spaceflight instrumentation, signaling an uncommon blend of microscopic control and macroscopic discovery.
code11 years of coding experience
job4 years of employment as a software developer
bookBachelor of Science - BS, Physics, 3.95 GPA, Bachelor of Science - BS, Physics, 3.95 GPA at The City College of New York
bookMaster of Science - MS, Physics, Master of Science - MS, Physics at Brown University
bookHigh School Diploma, Applied Mathematics, 98.9% Average, High School Diploma, Applied Mathematics, 98.9% Average at Brooklyn Technical High School
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Github Skills (3)

to-do7
jupyter-notebook3
jupyter2

Programming languages (2)

JavaScriptRuby

Github contributions (5)

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Refath/Niva

Aug 2017 - Oct 2017

Contributions:2 releases, 107 commits, 12 PRs in 1 month
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Refath/refath.github.io

Oct 2015 - Aug 2023

Contributions:20 pushes, 1 branch in 7 years 11 months
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