Chris Drymon is an AI Research Scientist with eight years of experience specializing in NLP, machine learning, and Python-driven research focused on Ancient Greek and New Testament study. Based in Porto, he built AnGEL, a state-of-the-art Ancient Greek part-of-speech tagger described as the best-performing system in its domain, and continues this work at Cherith Analytics. His background uniquely blends advanced theological training (Th.M. and MA in Biblical Languages) with practical software engineering and open-source tooling for scholarly research. Previously a freelance developer and educator, he has a track record of turning domain expertise in biblical languages into rigorously evaluated NLP models. He brings uncommon domain fusion—deep philological knowledge applied to modern neural architectures—to problems at the intersection of language, history, and AI. Colleagues describe him as a research-focused engineer who ships reproducible tools that advance both scholarship and applied ML.
Contributions:1 release, 87 commits, 82 pushes in 1 year 1 month
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Chris Drymon - AI Research Scientist at Cherith Analytics