Dylan Green
Postdoctoral Researcher at Berkeley Lab
Oakland, California, United States
Summary
👤
Senior🎓
Top SchoolDylan Green is a postdoctoral researcher based in Oakland with a decade of experience applying deep learning to astrophysics and cosmology, specializing in data-driven spectral analysis and quasar identification. With a PhD in Physics from UC Irvine and hands-on expertise in both TensorFlow and PyTorch, he bridges rigorous physical modeling and practical machine learning engineering. His work spans research-grade pipelines and production-ready neural networks, reflecting an ability to move from theoretical concepts to deployable analysis tools. Outside academia he brings grit and situational leadership from umpiring high school baseball, a role that sharpens decision-making under pressure. A long-running personal project — a decade-long attempt to write a chess engine — signals patience for complex algorithmic challenges and a taste for systems-level programming.
10 years of coding experience
6 years of employment as a software developer
University of California, Irvine
Github Skills (55)
nim-lang10
macros10
metaprogramming10
ada10
procedural10
spectral9
c999
music9
audio-player9
compiler8
python8
subsonic8
fyne8
minecraft8
binning7
Programming languages (6)
Github contributions (5)
desihub/QuasarNP
Mar 2021 - Aug 2024
Pure Numpy implementation of QuasarNet
Contributions:4 releases, 3 reviews, 43 pushes in 3 years 5 months
numpypython
dylanagreen/chrysaora
Feb 2019 - Apr 2021
Contributions:356 commits, 105 pushes, 2 branches in 2 years 2 months
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