Hannah Eyre
Senior Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolHannah Eyre is a Senior Data Scientist and NLP engineer with 11 years of experience applying clinical natural language processing and large-scale data analysis to healthcare operations, currently driving impact at the U.S. Department of Veterans Affairs in New York. She has led deployments of high-throughput NLP pipelines, co-developed medspaCy tools, and produced academic tutorials and presentations that bridge research and clinical practice. Hannah identified over $1 billion per year in inefficient VA community care spending using geospatial analysis and has successfully procured cross-agency funding for LLM-driven healthcare projects. Her work spans converting legacy rule-based systems into ML models using weak labels and few-shot learning, plus building deidentified language models for secure research use. Known for translating technical findings into whitepapers for clinical collaborators and congressional audiences, she combines deep engineering skill with clear communication. An unusual strength is her proven ability to optimize deployments for massive clinical corpora (up to 15x speedups) while maintaining research-grade rigor.
11 years of coding experience
6 years of employment as a software developer
The University of Utah
English
Github Skills (16)
nlp10
spacy10
pipeline10
natural-language-processing9
python9
uima8
language-processing7
machine-learning6
medical5
rule5
extraction5
infrastructure5
rule-based4
assertion4
text-mining4
Programming languages (3)
Github contributions (5)
turbosheep/ethics_data_science_project
Sep 2017 - Dec 2017
Contributions:14 pushes, 1 branch in 2 months
turbosheep/deep_learning_for_cNLP_AMIA2020
Sep 2020 - Nov 2020
Contributions:16 pushes, 1 branch in 2 months
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