Summary
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.
9 years of coding experience
Cross-registered, Marketing, Cross-registered, Marketing at Massachusetts Institute of Technology
University of California, San Diego
Master of Science - MS, Data Science, 4.0/4.0, Master of Science - MS, Data Science, 4.0/4.0 at Harvard University
Chinese, English