Summary
Han Han is a research scientist with 16 years of experience at the intersection of machine listening, audio engineering, and computational physics, currently based in Nantes and working at pyannoteAI. Their work spans industrial and academic settings—from diffusion-based dance-to-music generation at Sony CSL Tokyo to audio source separation for gaming at Nahimic/SteelSeries and doctoral research on the physicality of musical timbre at LS2N. Comfortable moving between low-level DSP, ML research, and production code (JUCE, Python, Kaldi), they have repeatedly translated signal-processing insight into practical tools and plugins. Notably, Han combines a strong physics and parallel-programming background with creative audio research, enabling cross-disciplinary approaches to complex auditory problems.
16 years of coding experience
3 years of employment as a software developer
Summer Study French Language and Literature, Summer Study French Language and Literature at American University Center of Provence: AUCP
Master of Science - MS Integrated Digital Media, Master of Science - MS Integrated Digital Media at New York University
Doctor of Science Computer Science, Doctor of Science Computer Science at Centrale Nantes
Physics Computational physics, Physics Computational physics at Rice University
Chinese, English, French