Andrew Stirn
AI Research Scientist III at Allen Institute
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolAndrew Stirn is an AI research scientist who builds deep learning solutions at the intersection of biological data and wearable sensing, blending eight years of industry experience with a PhD from Columbia CS. He has led algorithm design and embedded sensor engineering for commercial wearable products—authoring core PPG heart-rate, sleep, and presence algorithms—and later translated that expertise into generative and multimodal AI models for biology. His academic work produced five first-author publications in venues including NeurIPS and Nature Biotechnology and delivered TIGER, a widely used web tool for Cas13 gRNA design. At startups and research institutes he combines hands-on model development, deployment of model endpoints/APIs, and cross-functional leadership to move models from prototype to production. Based in the Seattle area, he focuses on AI/ML that accelerates biological discovery and improves human health, with a rare background spanning firmware, DSP, and contemporary deep-learning research.
8 years of coding experience
17 years of employment as a software developer
Johns Hopkins UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Columbia UniversityNon-Degree Graduate Study CS/EE, Non-Degree Graduate Study CS/EE at Stanford University
English
Github Skills (31)
python10
machine-learning10
deep-learning10
tensorflow10
data-science9
lifecycle9
artificial-intelligence9
lightning9
pytorch9
ml9
deep-neural-networks9
neural-network9
arxiv8
keras8
ai8
Programming languages (4)
Github contributions (5)
astirn/VariationalVarianceBackup
Jun 2020 - Jul 2021
Contributions:4 PRs, 67 pushes, 4 branches in 1 year 1 month
astirn/MV-Kumaraswamy
May 2019 - Dec 2019
Contributions:50 commits, 2 PRs, 24 pushes in 6 months
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