Yu Wang
Research Scientist at Spotify
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolYu 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.
8 years of coding experience
7 years of employment as a software developer
Master’s Degree, Master’s Degree at Massachusetts Institute of TechnologyDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at New York UniversityDiploma, Diploma at Institute of Audio ResearchMaster’s Degree, Master’s Degree at National Taiwan University
Chinese, Mandarin, English, Japanese
Github Skills (20)
polyphonic10
python10
audio-processing10
transcription10
audio10
juce10
pybind1110
pitch-detection10
music10
audio-effect10
machine-learning9
mir9
midi9
few-shot-learning8
tensorflow8
Programming languages (3)
Github contributions (5)
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
shotscallsshot-learningaudiofew-shot
wangyu/neural_machine_translation_2018
Nov 2018 - Dec 2018
Contributions:9 pushes in 1 month
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