Nat Gaertner

Lead Developer, Ballot Information Project

Nat did theoretical math in college, which turns out to be a terrible topic for party conversation and not particularly applicable outside of the academic environment. Once he was out of school and working for a beltway bandit in Virginia, he taught himself Java and worked on some enterprise style systems for improving air traffic control algorithms. He did some linear/integer programming, as was the style in that field, and wrote some Swing applications, as, let’s face it, has never been the style. Later, he did some SQL wrangling, some Django hacking, and some machine learning. He left the depressing world of government contracting for NOI in 2012 to take over as lead developer on the Ballot Information Project, where he helped standardize and serve up data on candidates for 2012 elections using a combination of several of the above technologies. These days he would maybe like to learn the most arcane functional languages when he grows up and actually become good at probability theory. Please tell him why pattern matching should be a language-level feature.

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