Nate Young
PHD Student at Cornell University
City of Ithaca, New York, United States
Summary
👤
Senior🎓
Top SchoolNate Young is a PhD student in Computer Science at Cornell and a computer architect at AMD with 11 years of experience building architectures and compilers for accelerators with a strong theoretical bent. He bridges research and product: designing AI engine architecture at AMD while pursuing academic work on accelerator compilers that connects formal theory to practical hardware. His background includes MS and BS degrees from UC Berkeley, hands-on internships at NVIDIA and Whisper.ai, and leadership roles teaching and managing research projects in machine learning and algorithms. Nate has repeatedly moved between academia and industry, bringing production-facing rigor to research problems and a theory-informed mindset to real-world silicon and tooling. Based in Ithaca, he combines deep systems knowledge with experience shipping tools used by hardware architects.
11 years of coding experience
2 years of employment as a software developer
Master of Science - MS Electrical Engineering and Computer Science, Master of Science - MS Electrical Engineering and Computer Science at University of California, BerkeleyWestlake High SchoolDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Cornell University
English
Github Skills (16)
python9
gpu9
deep-learning8
machine-learning8
numpy7
neural-network7
tensor6
gpu-acceleration6
autograd6
aws-services4
java4
pytorch2
tensorflow2
aws2
compiler2
Programming languages (6)
Github contributions (5)
natetyoung/STLFiles
Nov 2015 - Jul 2016
Contributions:4 commits, 2 pushes, 1 branch in 8 months
natetyoung/natetyoung.github.io
Sep 2015 - Apr 2026
Contributions:12 pushes, 3 branches in 10 years 8 months
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