Qian Ge
Research Scientist at Google
Tokyo, Australia
Summary
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Senior🎓
Top SchoolQian Ge is a research scientist at Google Brain with 11 years of systems and low-level software experience, focused on data-driven fleet optimizations that improve memory and CPU efficiency and advance tiered-memory benefits. His work blends machine learning with practical systems engineering, including design improvements to the TCMalloc C++ allocator. He holds a PhD from UNSW on eliminating microarchitectural timing channels via OS-enforced time protection, bringing rigorous security-aware thinking to performance problems. Prior roles span CSIRO Data61, ETH Zürich, and Huawei, reflecting a mix of academic depth and production engineering. Based in Tokyo and originally trained as an engineer at the University of Sydney, he enjoys turning research ideas into deployed implementations. An understated thread through his career is applying principled research methods to concrete, large-scale infrastructure challenges.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of New South WalesThe University of SydneyGithub contributions (5)
nlperic/OpenDTA
Jan 2018 - Jun 2018
Contributions:8 commits, 7 pushes, 1 branch in 4 months
nlperic/nlperic.github.io
Feb 2024 - Jan 2025
Contributions:42 pushes, 4 branches in 11 months
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