Tammy Yang is a founder and product leader with 11 years of experience bridging deep research and applied engineering, currently building Numbers Protocol, a decentralized system for digital-media provenance. With a PhD in particle physics and postdoctoral experience, she leverages rigorous quantitative thinking to design machine learning and compression techniques that make models smaller, faster, and production-ready. Prior roles span deep learning research for video analysis, leading HP projects at Canonical, and co-founding DT42, showing a consistent track record of turning academic rigor into product-focused solutions. Based in Taiwan, she blends systems and research fluency with product ownership, unusually pairing experimental physics discipline with practical startup execution. Her work emphasizes creator-centric, open architectures—reflecting both technical depth and a commitment to decentralization.
11 years of coding experience
4 years of employment as a software developer
PhD Physics, PhD Physics at The University of Manchester
Bachelor Physics, Bachelor Physics at National Taiwan University
Senior High School, Senior High School at Taipei First Girls Senior High School
This is a channel for Numbers community to report issues or open feature requests.
Contributions:6 commits, 7 pushes, 1 branch in 11 months
usabilityreport-toopen-featurereportbackbonejs
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