Elizabeth Wells is a software engineer and computational linguist with 11 years of experience building data-driven AI systems and tooling across healthcare and enterprise domains. With an MS in Computational Linguistics and early research internships at IBM and CallMiner, she helped prototype ML solutions for speech analytics and later contributed to Watson OpenScale’s monitoring and fairness capabilities. At COTA and now Verana Health she focused on data quality and developing automation to speed clinical abstraction, translating research-grade models into reliable production pipelines. Known for improving internal developer workflows and KPI monitoring, she blends linguistics-informed modeling with pragmatic backend engineering to close gaps between experimentation and production. Based in Boston, she brings a rare mix of academic rigor and hands-on product impact in AI-driven data engineering.
11 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Linguistics French Language and Linguistics, Bachelor’s Degree Linguistics French Language and Linguistics at Binghamton University
Master’s Degree Computational Linguistics, Master’s Degree Computational Linguistics at Brandeis University
Contributions:4 commits, 3 pushes, 1 branch in 1 year 5 months
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Elizabeth Wells - Software Engineer at Verana Health