Dylan Bouchard
Lead Applied Research Scientist, TR Labs at Thomson Reuters
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
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Economics (Specialization: Econometrics), Doctor of Philosophy (Ph.D.), Economics (Specialization: Econometrics) at North Carolina State UniversityBachelor's degree, Economics and Mathematics, Bachelor's degree, Economics and Mathematics at University of Maine
Github Skills (27)
artificial-intelligence10
chatgpt10
python10
langchain10
open-source10
typescript10
uncertainty-quantification10
large-language-models10
llm10
openai10
generative-ai10
ai10
fairness-ml10
bias-detection10
gemini10
Programming languages (3)
Github contributions (5)
cvs-health/uqlm
Apr 2025 - Jun 2026
[JMLR 2026] "UQLM: A Python Package for Uncertainty Quantification in Large Language Models"
Contributions:12 releases, 64 reviews, 206 PRs in 1 year 2 months
large-language-modelspythonuncertainty-quantificationai-evaluationai-safety
cvs-health/langfair
Oct 2024 - Jun 2026
LangFair is a Python library for conducting use-case level LLM bias and fairness assessments
Contributions:18 releases, 80 reviews, 234 PRs in 1 year 8 months
llmpythonaiartificial-intelligencebias
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