Qiujia Li is a Staff Research Scientist based in Mountain View with nine years of experience advancing automatic speech recognition, speech processing, and machine learning. Trained at Cambridge (PhD) with formative stints at MIT, Qiujia has progressed from undergraduate research on GANs and teacher-student acoustic models to leading GenAI and Gemini Audio efforts at Google and DeepMind. Their work spans core ASR research—confidence estimation, speaker diarisation, and acoustic modelling—to applied GenAI for audio, bridging rigorous academic methods with product-focused research. Notably, Qiujia has repeatedly collaborated with industry leaders (Google, Microsoft) and top academics, reflecting an ability to translate cutting-edge research into scalable systems. Colleagues describe them as a researcher who blends deep theoretical grounding with practical engineering to push audio AI into real-world products.
8 years of coding experience
5 years of employment as a software developer
Electrical Engineering and Computer Science (EECS), Electrical Engineering and Computer Science (EECS) at Massachusetts Institute of Technology
Doctor of Philosophy - PhD, Information Engineering, Doctor of Philosophy - PhD, Information Engineering at University of Cambridge
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Qiujia Li - Staff Research Scientist at Google DeepMind