Jinyu Xie
Research Engineer at Google DeepMind
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolJinyu 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.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Mechanical Engineering Computational Science (Minor), Doctor of Philosophy (Ph.D.) Mechanical Engineering Computational Science (Minor) at Penn State UniversityBachelor of Science (B.S.) Instrumentation and control, Bachelor of Science (B.S.) Instrumentation and control at Tsinghua University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
bearing9
predictive8
toolbox7
data-set7
maintenance7
fault6
openai-gym4
simulation4
diabetes4
simulator4
python3
reinforcement-learning2
Programming languages (1)
Github contributions (3)
mathworks/WindTurbineHighSpeedBearingPrognosis-Data
Jan 2018 - Mar 2018
Contributions:11 commits in 1 month
mathworks/RollingElementBearingFaultDiagnosis-Data
Jan 2018 - Mar 2018
Data set for Rolling Element Bearing Fault Diagnosis example in Predictive Maintenance Toolbox
Contributions:9 commits in 1 month
fault-diagnosisbearingdata-setfaultpredictive-maintenance
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