Corey Adams

Senior Software Engineer - Scientific Machine Learning at NVIDIA

Chicago, Illinois, United States
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Summary

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Corey Adams is a Senior Software Engineer specializing in scientific machine learning, blending a PhD in physics with 11 years of experience applying ML to large-scale scientific problems. He has led DOE-funded research teams and transitioned research-grade AI workflows from supercomputers at Argonne to industry platforms at AMD and NVIDIA, focusing on GPU-accelerated training and deployment. His background in neutrino experiments and detector reconstruction informs a practical, data-first approach to model design and high-resolution inference. Known for moving cutting-edge ML from prototype to production in HPC environments, he pairs deep domain knowledge with hands-on engineering across ROCm and data center GPU stacks. Based in Chicago, he brings uncommon fluency bridging experimental physics, scalable ML infrastructure, and technical productization.
code11 years of coding experience
job13 years of employment as a software developer
bookDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Yale University
bookBachelor of Science, Mathematics, Bachelor of Science, Mathematics at University of Rochester
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Github Skills (95)

python10
deep-learning10
gpu10
gpu-acceleration10
pretrain10
numpy10
ml10
ai10
fine-tuning10
neural-network10
tensor10
jax10
artificial-intelligence10
data-science10
tensorflow10

Programming languages (7)

JavaC++ShellHTMLRoffJupyter NotebookPython

Github contributions (5)

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argonne-lcf/ThetaGPU-Docs

Sep 2020 - Jan 2022

Staging area for Theta-GPU documentation
Contributions:1 review, 15 commits, 1 PR in 1 year 4 months
gpu
coreyjadams/physicsnemo

Dec 2024 - Jul 2026

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Contributions:9 PRs, 657 pushes, 149 branches in 1 year 7 months
deep-learningfine-tuningmachine-learning
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