Summary
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.
8 years of coding experience
10 years of employment as a software developer
Master’s Degree, Materials Science and Engineering, Master’s Degree, Materials Science and Engineering at Massachusetts Institute of Technology
Doctor of Philosophy - PhD, Music Technology, Doctor of Philosophy - PhD, Music Technology at New York University
Diploma, Audio Recording and Production, Diploma, Audio Recording and Production at Institute of Audio Research
Master’s Degree, Materials Science and Engineering, Master’s Degree, Materials Science and Engineering at National Taiwan University
Chinese, Mandarin, English, Japanese