Postdoctoral Research Fellow at NASA Goddard Space Flight Center
Washington, District of Columbia, United States
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Gabriel Freedman is a NASA Postdoctoral Fellow and physicist specializing in developing advanced data-analysis and statistical inference techniques to detect gravitational waves for the LISA mission. With a PhD from the University of Wisconsin–Milwaukee and eight years of experience across academic and industry settings, he blends Python, machine learning, and pipeline engineering to turn noisy astrophysical signals into robust detections. His background includes building production ML models and Azure-based data solutions for manufacturing at Vitro, giving him practical experience deploying analytics beyond academia. Based at Goddard Space Flight Center, he has deep experience with interferometry and pulsar-timing detection methods and a proven ability to translate complex physics problems into scalable software systems. Notably, he pairs rigorous statistical methods with cloud and automation skills, enabling end-to-end data workflows from instrument to inference.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, 4.0, Doctor of Philosophy - PhD, Physics, 4.0 at University of Wisconsin-Milwaukee
Bachelor of Science - BS, Physics and Astronomy, Mathematics, Bachelor of Science - BS, Physics and Astronomy, Mathematics at University of Pittsburgh
Contributions:68 PRs, 38 pushes, 3 branches in 2 years 1 month
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Gabriel Freedman - Postdoctoral Research Fellow at NASA Goddard Space Flight Center