Yuan Tang

Content Developer at Harvard John A. Paulson School of Engineering and Applied Sciences

Cambridge, Massachusetts, United States
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Summary

👤
Senior
🎓
Top School
Yuan Tang is an AI/ML engineer and course developer with nine years of experience focused on computer vision and bio-inspired deep learning, currently based in Cambridge, MA. At Harvard SEAS she redesigns hands-on AI coursework and builds production-grade tutorials, demos, and pipelines spanning LLMs, agents, vision, cloud deployment, and MLOps. Her background blends practical teaching and content development—having created a HarvardX course on neural networks—with research experience from UC San Diego’s de Sa lab on biologically inspired vision models. A Cambridge-based data scientist on GitHub, she couples strong theoretical foundations from a BS in Cognitive Science (ML & Neural Computation) and an MS in Data Science with a knack for turning complex AI concepts into usable, reproducible coursework and reference implementations. Colleagues praise her ability to span from classroom curriculum to production agent applications, and she brings an unusual mix of pedagogy, research insight, and deployment-focused engineering to ML teams.
code9 years of coding experience
bookCross-registered, Marketing, Cross-registered, Marketing at Massachusetts Institute of Technology
bookUniversity of California, San Diego
bookMaster of Science - MS, Data Science, 4.0/4.0, Master of Science - MS, Data Science, 4.0/4.0 at Harvard University
languagesChinese, English
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Github Skills (1)

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Programming languages (1)

Jupyter Notebook

Github contributions (5)

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hiyuantang/FAU_Dataset

Mar 2023 - Mar 2023

Contributions:52 commits, 140 pushes in 21 days
holatangyuan/marked_long

May 2022 - Dec 2022

Contributions:120 pushes, 1 branch in 7 months
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