Summary
Huan Zhang is a software engineer and PhD candidate in AI at Queen Mary University of London who brings 11 years of practical experience at the intersection of music, machine learning, and web development. His research at the Centre for Digital Music explores expressive music generation and evaluation using diffusion models, transformers, and large language models, with applications in music education and assessment. Huan has combined industry R&D (Yamaha, Sony CSL, Tencent, Kuaishou) with hands-on product work—shipping a React/Redux-based collaborative music education app and end-to-end transformer solutions for melody harmonization. He also maintains a decade-long public-facing music critique practice in Chinese, publishing 100+ articles and reaching over 10,000 readers, reflecting a rare blend of technical depth and musical sensitivity. Notably, his projects link symbolic music representation and performance expression analysis, bridging academic research and deployable audio intelligence.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Queen Mary University of London
Bachelor of Science - BS, Music Technology, Bachelor of Science - BS, Music Technology at Carnegie Mellon University
Chinese, Russian, English, German, Japanese