Yudi Zheng
Senior Researcher at Oracle Labs
Zurich, Zurich, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolYudi Zheng is a Senior Researcher at Oracle Labs with 11 years of experience specializing in low-level JVM performance, memory management and runtime systems. He holds a PhD in Informatics from USI and completed top-ranked CS degrees at Shanghai Jiao Tong University, reflecting deep academic grounding paired with applied research. At Oracle he contributes to GraalVM and HotSpot-related projects, implementing and optimizing intrinsic routines for memory access, garbage collection and virtual threads to improve native compilation and runtime efficiency. His work bridges compiler internals and production performance engineering, delivering optimizations that reduce startup time and resource usage for real-world Java workloads. Colleagues appreciate his mix of rigorous research methods and hands-on systems coding that yields measurable performance gains.
11 years of coding experience
Doctor of Philosophy (PhD), Informatics, Doctor of Philosophy (PhD), Informatics at Università della Svizzera Italiana (USI)Master of Science (MSc), Computer Science, GPA Ranked 1st, Early Graduation, Master of Science (MSc), Computer Science, GPA Ranked 1st, Early Graduation at Shanghai Jiao Tong University
Stackoverflow
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Github Skills (12)
performance-tuning10
javas10
arm10
low-level-programming10
performance-monitor10
performance-analytics10
performance-analysis10
performance-monitoring10
java10
performance-measurement10
garbage-collection8
multithreading8
Programming languages (6)
Github contributions (5)
oracle/graal
May 2017 - Feb 2025
GraalVM compiles Java applications into native executables that start instantly, scale fast, and use fewer compute resources 🚀
Role in this project:
Back-end Developer & Performance Engineer
Back-end Developer & Performance EngineerContributions:3 reviews, 12 PRs, 159 comments in 7 years 10 months
Contributions summary:Yudi's commits focused on implementing and optimizing low-level aspects of Java compilation, specifically related to the performance of the HotSpot JVM's intrinsics for managing memory and related runtime aspects. They primarily made changes to support the compilation of low-level runtime routines related to memory access and garbage collection. Their contributions involved adding and optimizing implementations for various low-level tasks related to virtual threads, memory operations and JFR events.
polyglotpythonjavascriptrubyanywhere
mur47x111/jdk
Oct 2020 - Mar 2025
JDK main-line development
Contributions:48 pushes, 28 branches in 4 years 6 months
javajvmjdk
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