Lucy Havens
IASH Affiliate
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolLucy Havens is a data-driven designer and researcher who blends data analytics, user-centered design, and machine learning to make cultural heritage collections more discoverable and equitable. With eight years of experience across academia, libraries, and industry, she researches and builds methods to identify and classify bias in descriptive metadata, applying those methods in a doctoral thesis and IASH-affiliated research at the University of Edinburgh. Her background spans hands-on toolbuilding—Python notebooks, D3 visualizations, and interactive dashboards—to teaching digital humanities programming and consulting on data science projects. She has translated research into accessible outputs, from award-shortlisted Jupyter Notebooks to infographics that trace cataloguing practices, revealing not only technical patterns but the human decisions behind metadata. Based in Seattle, she combines rigorous technical practice with a knack for translating complex bias analyses into pedagogical materials for non-technical audiences.
8 years of coding experience
3 years of employment as a software developer
Advanced MSc in Design Informatics, Design Informatics, Advanced MSc in Design Informatics, Design Informatics at The University of EdinburghBachelor's Degree, Information Systems, Bachelor's Degree, Information Systems at Carnegie Mellon UniversityHigh School, High School at Holy Names Academy
Persian, French, English
Github Skills (20)
digital-humanities10
data-science10
jupyter-notebook10
data-visualization10
computational-linguistics9
phonetics9
acl8
natural-language-processing6
database5
statistics3
text-analysis3
machine-learning2
network-analysis2
data-analysis2
gis2
Programming languages (2)
Github contributions (5)
peacerep/yemen-map
Jun 2018 - Feb 2019
Visualising the PA-X Peace Agreements Database
Contributions:140 commits in 8 months
database
NLS-Digital-Scholarship/collections-as-data
Jul 2020 - Oct 2022
Jupyter Notebooks for reuse in analysis of National Library of Scotland's collections as data
Contributions:105 commits, 92 pushes, 8 branches in 2 years 2 months
jupyter-notebookcollections-as-datadigital-humanitiesdigital-scholarshipdata-science
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