Mary Gibbs
Lead Applied Scientist at Relativity
Washington DC-Baltimore Area United States
Summary
👤
Senior🎓
Top SchoolMary Gibbs is a Lead Applied Scientist with eight years of experience turning complex data into actionable insights across government, defense, and commercial sectors. She combines a strong data science toolkit—NLP, anomaly detection, model interpretability, and ML deployment on AWS—with software engineering practices to ship production-ready pipelines and dashboards. Her work has supported FAA analytics, NASA-funded air traffic projects, and biotech risk modeling, often improving labeling accuracy or reducing reporting time through automation and weak supervision. Mary pairs academic rigor (MS in Data Science, publications from NIH research) with pragmatic product delivery, having built end-to-end web apps, CI-backed test harnesses, and explainability tools that bridge scientists and stakeholders. Based in the Washington DC–Baltimore area, she’s known for integrating domain knowledge into ML solutions that emphasize interpretability and operational impact.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at The George Washington UniversityBachelor of Arts - BA, Biological Sciences, Bachelor of Arts - BA, Biological Sciences at Cornell University
Github Skills (36)
relay-modern8
open-science8
jupyter8
python7
react7
docker7
graphql6
harness5
testing5
data-science5
selenium-webdriver5
tracks4
nlp4
build-tools3
genetics3
Programming languages (8)
Github contributions (5)
mgibbs1259/mary-gibbs-dev
Jan 2022 - Aug 2024
My personal website
Contributions:12 PRs, 46 pushes, 12 branches in 2 years 7 months
mgibbs1259/gigantum-testing
Mar 2019 - May 2019
A test harness for the Gigantum Client
Contributions:192 pushes, 23 branches in 2 months
testingtest-harnessharness
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