Shuqi Dai
Audio AI Researcher at xAI
Pittsburgh, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolShuqi Dai is an Audio AI researcher and Ph.D. candidate at Carnegie Mellon University, now continuing her work at xAI, who blends deep technical research with musical practice to reinvent how we listen to, understand, perform, and create music. A Raj Reddy Fellow advised by Prof. Roger Dannenberg, she has nine years of research and industry experience with internships at Adobe, NVIDIA, and Microsoft Research Asia, translating cutting-edge audio ML into real products. Trained in both Western music and over 20 years as a professional Pipa performer, Shuqi uniquely combines ethnomusicological insight and composition with signal processing and ML to pursue applications across health and education. Her portfolio reflects collaborations with major labs and a creative, cross-disciplinary drive—she even frames her public github persona as resisting anonymity in the sea of engineers. Based in Pittsburgh, she brings rigorous academic grounding from CMU and Peking University and a track record of turning musical intuition into technically novel audio systems.
9 years of coding experience
7 years of employment as a software developer
bachelor of Computer Science 计算机科学与技术 Computer Science, bachelor of Computer Science 计算机科学与技术 Computer Science at Peking UniversityThe University of Hong Kong (HKU)Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Carnegie Mellon University
Stackoverflow
1reputation
0reached
0answers
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Github Skills (23)
wrapper8
grid8
excel8
data-management7
grids7
spreadsheet7
datagrid6
react6
data-import6
vue-table6
angular5
php-library5
vue5
php5
datatable5
Programming languages (2)
Github contributions (5)
daishiqi/elegant-space
Dec 2017 - Jun 2018
Contributions:9 commits, 6 pushes, 1 branch in 5 months
daishiqi/wechat
Apr 2017 - Nov 2018
Contributions:3 commits, 2 pushes, 1 branch in 1 year 7 months
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