Chester Palen-michel is an applied researcher specializing in NLP and computational linguistics, currently driving practical language-tech solutions at eBay after completing a PhD at Brandeis. With nine years of experience spanning research programming at ISI, internships at eBay and Raytheon BBN, and hands-on work in low-resource languages, he blends expertise in named entity recognition, information extraction, and cross-lingual methods. He began his career as a language educator, a background that informs his pragmatic approach to language modeling and annotation challenges. Chester’s work bridges academic rigor and production needs—he has implemented extraction pipelines and ran causal relation and extractive summarization experiments—making him adept at moving models from prototype to applied systems. Based in Campbell, CA, he combines formal logic and machine learning to tackle practical problems in under-resourced languages.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Arts (B.A.) Spanish Language Teacher Education, Bachelor of Arts (B.A.) Spanish Language Teacher Education at Kent State University
Master of Arts (M.A.) Computational Linguistics, Master of Arts (M.A.) Computational Linguistics at Brandeis University
Contributions:1 push, 1 branch in 2 years 5 months
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