Summary
Xuenan Xu is a Ph.D.-trained researcher specializing in general audio understanding and generation, with eight years of engineering and research experience spanning speech, sound, and music. Currently a Junior Researcher at Shanghai AI Laboratory after internships and visiting roles at Meta, Alibaba, and the University of Surrey, Xuenan builds AI model training frameworks and practical systems in Python. Their work ranges from fine-grained temporal audio captioning and codec learning to large-scale productization—evidenced by implementing an open-source Tongyi AI storyteller and optimizing EMG handwriting models at Meta. Based in Shanghai, they combine academic rigor with hands-on engineering, often bridging model compression and real-world deployment challenges. An unusual strength is fluency across the stack: from frontend prototypes early in their career to cutting-edge audio ML research today.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Shanghai Jiao Tong University