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.
10 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 (13)
python9
gpu9
machine-learning9
deep-learning9
neural-network8
numpy8
gpu-acceleration7
tensorflow7
acceleration7
tensor6
autograd6
java4
javascript1
Programming languages (3)
Github contributions (5)
natetyoung/natetyoung.github.io
Sep 2015 - Oct 2024
Contributions:10 pushes, 3 branches in 9 years 1 month
natetyoung/STLFiles
Nov 2015 - Jul 2016
Contributions:4 commits, 2 pushes, 1 branch in 8 months
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