George Armstrong
Senior Research Scientist at NVIDIA
San Diego Metropolitan Area United States
Summary
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Rockstar🎓
Top SchoolGeorge Armstrong is a Senior Research Scientist with a PhD in Bioinformatics and Systems Biology and a decade of experience applying machine learning and computational methods to genomics and microbiome data. He has driven productionization of large language models for drug discovery and built deep learning pipelines for germline variant calling and qPCR analysis while at NVIDIA and Thermo Fisher. His work bridges rigorous academic research—four first-authored papers and contributions to numerous peer-reviewed articles—with hands-on engineering to deploy models at scale in industry. Based in San Diego, he combines applied mathematics training with high-performance computing expertise to extract regulatory insights from complex biological datasets. Less obvious: he frequently translates active learning and contrastive learning ideas from research into labeling and production workflows that materially improve genomics throughput. He excels at turning theoretical statistical methods into robust, deployable solutions for biomedical problems.
10 years of coding experience
8 years of employment as a software developer
University of California, San DiegoApplied Mathematics, Applied Mathematics at Colgate University
Github Skills (100)
python10
text-to-speech10
automatic-speech-recognition10
classifier10
microbiome10
speech10
computational-biology10
biplot10
machine-translation10
scikit10
statistics10
rl-environment10
phylogeny10
rclr10
data-science10
Programming languages (6)
Github contributions (5)
biocore/q2-umap
Nov 2019 - Jun 2021
Applying umap to microbiome data via QIIME2
Contributions:1 release, 2 reviews, 91 commits in 1 year 6 months
qiime
gwarmstrong/unifrac
Apr 2019 - Feb 2020
Contributions:196 pushes, 25 branches in 11 months
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