Xinjian Li is a research scientist at Google DeepMind with a decade of experience focused on machine learning for speech and audio, currently improving audio capabilities for Gemini models. He holds a Ph.D. from CMU LTI and has blended industry research and engineering at Google Brain and Microsoft, where he worked on East Asian input method editors. His work spans the full research-to-product lifecycle, from doctoral-level modeling to deploying robust systems in large-scale platforms. Comfortable switching between deep research and pragmatic engineering, he brings both theoretical rigor and production-grade implementation skills. Based in the United States, he maintains an active professional presence (xinjianl.com) that reflects his interdisciplinary training across CMU and the University of Tokyo. A not-obvious strength is his cross-cultural expertise in language technologies, informed by extensive academic and engineering work across Japan and the U.S.
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