Jinyu Xie is a research engineer with 8 years of experience building large-scale ranking systems and applied ML, now working on embodied AI at Google DeepMind after leading Topic Authority Modeling at Google. He holds a PhD in Computational Science and has blended control theory, signal processing, and machine learning to advance automated insulin delivery—publishing simulation tools and an open-source Type-1 diabetes simulator used for reinforcement learning. At Google he fine-tuned 150B-scale LLMs and scaled knowledge-graph topic clustering to dramatically boost ranking precision, recall, and coverage, and designed 100s-TB ML pipelines for production. Skilled across RL, time-series forecasting, and control, he also maintains fireTS, a sklearn-/PyTorch-compatible nonlinear multivariate time-series package, reflecting a rare combination of academic rigor and production-grade engineering.
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