Yongyi Zang
Director Of Research And Labs at Smule, Inc.
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolYongyi Zang is a research-focused machine learning leader based in Seattle with nine years of experience building and training audio-focused neural models. Currently Director of Research and Labs at Smule, he moved up from Research Scientist while continuing hands-on work training models for real-world audio applications. His background blends a BS in Audio & Music Engineering with computer science, and roles across Neosensory, AIR Lab, and voice biometrics give him deep practical expertise in making computers "hear." Yongyi is particularly interested in the concept of affordances in neural networks—how models reveal or enable capabilities beyond their training objectives—which informs both his research direction and product-facing experimentation. Colleagues would describe him as a pragmatic scientist who bridges lab research and production engineering to deliver usable audio intelligence.
9 years of coding experience
4 years of employment as a software developer
University of California, BerkeleyBachelor of Science - BS, Audio & Music Engineering; Minors in Computer Science, Bachelor of Science - BS, Audio & Music Engineering; Minors in Computer Science at University of Rochester
Chinese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (64)
music-generation10
python10
chainer10
r10
machine-learning10
text-to-speech10
machine-learning-algorithms10
speech-synthesis10
azure-machine-learning10
speech10
scikit-learn10
counting10
data-science9
style-transfer9
speech-processing9
Programming languages (9)
Github contributions (5)
yongyizang/BachDuet-WebGUI
Jul 2021 - Jan 2023
A Web Application for Baroque-style Human/Computer Musical Jamming.
Contributions:165 commits, 2 PRs, 24 pushes in 1 year 6 months
human-computerweb-applicationmusicmusicalbaroque
zangyongyi/zangyongyi.github.io
Jul 2016 - Jul 2017
Contributions:35 pushes, 2 branches in 1 year
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