Research Scientist, AI ML at Columbia University in the City of New York
Seattle, Washington, United States
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Summary
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Jonathan Reeve is a research scientist specializing in computational literary analysis and AI/ML, combining 13 years of experience across academia and industry to build software that surfaces new insights about novels and poems. Currently at Apple and a researcher/lecturer at Columbia, he designs textual infrastructures and tools for digital literary archives, translating humanities research questions into scalable code. His background spans web development and digital editions (including modernization work for archival projects at NYU and the MLA), giving him a rare blend of deep literary scholarship (PhD-level) and production engineering. Based in Seattle, he is driven by practical ways to make close reading computable, often crafting bespoke NLP pipelines that reveal patterns traditional criticism misses.
13 years of coding experience
2 years of employment as a software developer
Bachelor's Degree, Bachelor's Degree at NYU Gallatin
Bachelor of Arts (BA), Individualized, Bachelor of Arts (BA), Individualized at New York University
Doctor of Philosophy - PhD, English Literature (British and Commonwealth), Doctor of Philosophy - PhD, English Literature (British and Commonwealth) at Columbia University in the City of New York
Master of Arts (MA), English Literature, 3.98 GPA out of 4.0, Master of Arts (MA), English Literature, 3.98 GPA out of 4.0 at Brooklyn College
Materials for the workshop Advanced Text Analysis with SpaCy and Scikit-Learn, given at NYU during NYCDH Week 2017, at PyData NYC in Nov. 2017, and at Columbia University in 2018 and 2019.
Contributions:23 commits, 1 PR, 14 pushes in 2 years 7 months
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