Michelle Yuan
Principal Applied Scientist at Oracle
United States
Summary
👤
Senior🎓
Top SchoolMichelle Yuan is a Principal Applied Scientist with eight years of experience building agentic and generative AI systems, currently leading work on OCI AI at Oracle. Previously at AWS she drove Amazon Bedrock Agents and led benchmarking for multi-agent collaboration—work that was highlighted by the CEO at re:Invent 2024—and she holds multiple patents in agentic/generative AI. Her background combines a PhD in Computer Science from the University of Maryland with early research stints at Cornell and National Taiwan University, blending rigorous research with product-focused delivery. She has hands-on experience shipping large-scale GenAI features in cloud services and translating novel research into production-ready capabilities. Colleagues describe her as someone who moves quickly from prototype to patentable product ideas while keeping an eye on system reliability and developer experience.
8 years of coding experience
3 years of employment as a software developer
Visiting Student Researcher Computer Science, Visiting Student Researcher Computer Science at National Taiwan UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of MarylandBachelor of Arts - BA Mathematics, Bachelor of Arts - BA Mathematics at Cornell University
English, Chinese, Spanish
Github Skills (17)
cold-start8
meta-learning7
unsupervised-learning7
nlp6
transfer-learning6
modeling6
active-learning5
natural-language-processing5
latex5
pytorch4
jekyll3
coreference3
coreference-resolution3
anchor2
react2
Programming languages (4)
Github contributions (5)
forest-snow/alps
Oct 2020 - May 2021
Code accompanying EMNLP 2020 paper "Cold-start Active Learning through Self-supervised Language Modeling".
Contributions:7 commits, 1 PR, 14 pushes in 7 months
pytorchnlpcold-startactive-learningsupervised
forest-snow/mtanchor_demo
Sep 2018 - Oct 2018
Contributions:12 commits, 16 pushes, 1 branch in 1 month
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