Yu Wang

Senior Research Scientist at Spotify

New York, New York, United States
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Summary

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Yu Wang is a Research Scientist at Spotify with eight years of experience advancing music information retrieval, machine listening, and audio-focused deep learning. Currently finishing a Ph.D. at NYU, Yu blends rigorous academic research with industry impact through internships and collaborations at Google Brain (Magenta), Adobe, and prior roles at MIT. His work spans audio signal processing to generative and analytic ML models for music, informed by hands-on music production and studio experience dating back to assisting professional recording environments and touring tech work. Based in New York, he is known for translating cutting-edge research into product-relevant solutions for large-scale music platforms, bringing both the engineer’s precision and the musician’s ear.
code8 years of coding experience
job10 years of employment as a software developer
bookMaster’s Degree, Materials Science and Engineering, Master’s Degree, Materials Science and Engineering at Massachusetts Institute of Technology
bookDoctor of Philosophy - PhD, Music Technology, Doctor of Philosophy - PhD, Music Technology at New York University
bookDiploma, Audio Recording and Production, Diploma, Audio Recording and Production at Institute of Audio Research
bookMaster’s Degree, Materials Science and Engineering, Master’s Degree, Materials Science and Engineering at National Taiwan University
languagesChinese, Mandarin, English, Japanese
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Github Skills (16)

audio10
machine-learning10
audio-processing10
polyphonic10
juce10
pitch-detection10
python10
pybind1110
few-shot-learning9
music9
transcription9
midi9
mir8
typescript7
language-model3

Programming languages (4)

C++HTMLJupyter NotebookPython

Github contributions (5)

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wangyu/rethink-audio-fsl

Jul 2021 - May 2022

Who calls the shots? Rethinking Few-Shot Learning for Audio (WASPAA 2021)
Contributions:37 commits, 9 PRs, 10 pushes in 9 months
audiofew-shot-learning
Contributions:9 pushes in 1 month
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