Making information clear, findable, and trustworthy — in writing, in libraries, and now in data.
For a few years I was a prolific legal content writer — 100+ published articles and a Forbes byline — translating dense, high-stakes material into writing non-experts could actually trust and use. As a school librarian, I did the quieter version of the same job: organizing information so people could find it and rely on it.
Now I'm formalizing the quantitative side of that same instinct through a Master of Data Science (currently halfway through). The throughline of making information clear, findable, and trustworthy hasn't changed. I'm just extending it from words and shelves to the data itself: metadata, governance, and analysis
100+ published articles and a Forbes byline — making complex legal and policy material clear and credible.
Structuring, describing, and standardizing information so it holds up at scale — a cataloger's habits applied to data.
Quality, provenance, and stewardship, plus the analytical tools of the MDS: Python, SQL, and statistics.
Years of helping non-experts navigate and trust sources — translated into clear data communication.