Shan Yang
Staff Applied Scientist at Adobe Foundry
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolShan Yang is a Staff Applied Scientist with eight years of experience building production-grade ML systems across speech synthesis, multimodal video understanding, and 3D reconstruction. After a Ph.D. in Computer Science from UNC Chapel Hill, Shan drove research-to-product work at Google and Amazon before joining Adobe Foundry, bridging cutting-edge research with scalable engineering. His background spans inverse problems in graphics to monocular video 3D reconstruction and recent focus on speech synthesis, reflecting a rare combo of geometric vision and audio modeling expertise. Based in Mountain View, he is comfortable moving systems from research prototypes into robust, deployable services and often brings insights from academic research to solve practical product challenges.
8 years of coding experience
14 years of employment as a software developer
Ph.D, Computer Science, Ph.D, Computer Science at UNC Chapel HillBachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Shanghai Jiao Tong University
Github Skills (24)
pre-trained-model9
speech-synthesis9
synthesis9
speech9
modeling9
python8
machine-learning8
autoencoder7
variational-autoencoder7
tensorflow7
generative7
neural-style-transfer7
speech-recognition7
audio6
stereo6
Programming languages (2)
Github contributions (5)
syang1993/syang1993.github.io
Feb 2018 - Apr 2021
Contributions:49 commits, 84 pushes, 1 branch in 3 years 1 month
syang1993/gst-tacotron
Mar 2018 - Dec 2018
A tensorflow implementation of the "Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis"
Contributions:46 commits, 3 PRs, 32 pushes in 8 months
end-to-endtokensunsupervisedsynthesisspeech-synthesis
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