Dylan Bouchard
Principal Applied Scientist at CVS Health
United States
Summary
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Rockstar🎓
Top SchoolDylan Bouchard is a Lead Applied Research Scientist at TR Labs with a PhD-trained background in econometrics and a track record of translating rigorous research into production-ready AI tools. He built CVS Health’s Responsible AI research program and created notable open-source projects like UQLM (1,100+ stars) and LangFair (250+ stars) for uncertainty quantification and evaluation of language models. His first-author publications appear in JMLR, TMLR, JOSS, and NeurIPS/ACL workshops, reflecting a commitment to reproducible, high-impact research. Prior roles span industry and academia, from principal applied scientist and data scientist positions to instructor and researcher appointments where he applied advanced econometric methods. Unusually for an applied ML lead, he combines deep econometric expertise with practical tooling for LLM hallucination detection, bridging theory and production risk mitigation. Based in the United States, he focuses on responsible, measurable AI outcomes informed by interdisciplinary collaboration.
1 year of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Economics, Doctor of Philosophy (Ph.D.) Economics at North Carolina State UniversityBachelor's degree Economics and Mathematics, Bachelor's degree Economics and Mathematics at University of Maine
Github Skills (13)
fairness-ml10
bias-detection10
python9
llm9
large-language-models9
ai9
artificial-intelligence9
open-access6
journal6
langchain6
academia5
creative-commons4
pypi2
Programming languages (2)
Github contributions (5)
cvs-health/langfair
Oct 2024 - Mar 2025
LangFair is a Python library for conducting use-case level LLM bias and fairness assessments
Contributions:10 releases, 54 reviews, 189 PRs in 4 months
aiai-safetyartificial-intelligencebiasbias-detection
virenbajaj/langchain
Jan 2025 - Jan 2025
🦜🔗 Build context-aware reasoning applications
Contributions:1 PR, 3 pushes, 1 branch in 4 days
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