Lynette Shaw
Lead Data Scientist
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolLynette Shaw is a Lead Data Scientist in Seattle with 9 years of experience applying NLP, supervised learning, and applied social statistics to real-world problems. She leads Knowable’s data science team, building AWS-based deployment pipelines (SageMaker, Docker, S3, Elasticsearch) and translating product goals into production ML systems. Her background blends academic rigor—a PhD and fellowship work using large-scale NLP, agent-based modeling, and experiments on social dynamics—with hands-on engineering that processed tens of thousands of contracts and reduced review workload through ML. She has a track record of turning complex text into actionable signals, having built custom summarization and extraction workflows for biomedical and legal domains. As a founding board member of The Computational Democracy Project, she brings long-standing interest in the social impacts of technology and measurement-driven policy. Colleagues describe her as a technical manager who pairs deep statistical thinking with practical deployment experience.
9 years of coding experience
2 years of employment as a software developer
Master of Arts (MA), Sociology, Master of Arts (MA), Sociology at University of WashingtonBachelor of Arts (B.A.), Physics, Sociology, Bachelor of Arts (B.A.), Physics, Sociology at The University of Texas at Austin
Github Skills (11)
summarization4
nlp3
korean-nlp3
lda3
natural-language-processing2
demography2
machine-learning2
agent-based-simulation2
python1
pythonic1
seq2seq1
Programming languages (2)
Github contributions (5)
lynetteshaw/cscs-530-wi2017
Jan 2017 - Apr 2017
Contributions:100 commits, 97 pushes, 1 branch in 3 months
lynetteshaw/cscs-530-wi2019
Jan 2019 - Apr 2019
Contributions:72 commits, 72 pushes, 1 branch in 3 months
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