Fei Liu is a Senior Research Scientist at Google DeepMind and a core contributor to Gemini, with 12 years of research and engineering experience in large language model training, fine-tuning (SFT/RL), and model extensions for planning and reasoning. He holds a PhD in NLP from the University of Melbourne and has published multiple papers at top conferences, including state-of-the-art work on human-like execution (HLE) featured in the Gemini 2.5 tech report. Prior internships at Facebook AI Research and NAVER LABS produced influential work in coreference resolution, memory-enhanced models, and personality trait recognition. Based in Mountain View, Fei blends deep academic rigor with production-focused ML engineering, leading low-latency browser-control quality efforts for Gemini. He is notable for moving research ideas into large-scale model training pipelines and for sustaining impact across both academic and product settings.
12 years of coding experience
The University of Melbourne
Bachelor of Science (B.Sc.), Computer Science, Bachelor of Science (B.Sc.), Computer Science at Beijing University of Technology
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Fei Liu - Senior Research Scientist at Google DeepMind