Naomi Saphra is an NLP and ML researcher-practitioner with 12 years of experience bridging academia and industry, joining Boston University faculty after postdoctoral work at NYU and a Kempner fellowship at Harvard. Her background includes internships and consulting roles at Google and MosaicML and early engineering stints at Facebook, giving her deep experience shipping experimental NLP systems and production-focused models. She earned a PhD in Informatics from the University of Edinburgh and holds advanced degrees from Johns Hopkins and Carnegie Mellon, combining rigorous research with practical engineering across Python, C++, and applied tooling. Naomi is drawn to labs and internships that mix cutting-edge research with interesting programming challenges, and she has a track record of turning research ideas into working classifiers and NLP applications. An understated strength is her cross-institutional fluency—moving between startups, big tech, and academia—which helps her translate theoretical advances into usable software.
12 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD Informatics, Doctor of Philosophy - PhD Informatics at The University of Edinburgh
Johns Hopkins University
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Carnegie Mellon University
Contributions:134 commits, 2 PRs, 16 pushes in 3 years
amrsvisualizealignmentannotatorinter
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