Yuan-yen Tai

Staff AI Researcher at The Biological Computing Co. (TBC)

Dublin, California, United States
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Summary

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Yuan-yen Tai is a Staff AI Researcher with 10 years of experience applying advanced machine learning and high-complexity computational models to advertising and large-scale systems. With a Ph.D. in theoretical physics, he bridges deep scientific rigor and practical engineering, having led R&D at Apple on RAG systems for global supply chains and patented hybrid Graph+LLM search/ranking and on-screen codex approaches for TV and App Store ads. He has built end-to-end PoC pipelines from on-device inference to large-scale architectures and previously contributed ML and data science work at Amazon and CargoMetrics. Now at The Biological Computing Co., he focuses on robust, production-ready ML solutions that scale, bringing a track record of turning theoretical models into deployable systems and a knack for inventing hybrid algorithms that compress complex signals into actionable product features.
code10 years of coding experience
job11 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.) Theoretical Physics, Doctor of Philosophy (Ph.D.) Theoretical Physics at University of Houston
languagesEnglish, Chinese
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Programming languages (1)

Jupyter Notebook

Github contributions (5)

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TDIV/TBM3

May 2016 - Dec 2016

Contributions:141 commits, 1 push in 7 months
yuan-yen/glassfire

Nov 2017 - Jul 2021

Contributions:10 PRs, 50 pushes, 3 branches in 3 years 7 months
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Yuan-yen Tai - Staff AI Researcher at The Biological Computing Co. (TBC)