Xiaoyu Liu is a Member of Technical Staff at Microsoft AI with six years of experience building applied ML and developer tooling for large-scale developer products. Previously a technical lead for multiple GitHub Copilot initiatives, Xiaoyu drove efforts on GPT-4o Copilot, enterprise customization, and code review features, and was a primary contributor to Visual Studio IntelliCode’s Smart IntelliSense and whole-line completion. Their open-source work includes integrating a language-agnostic layer into Facebook’s widely used static analyzer Infer, extending its race detection and .NET resource leak capabilities and adding SARIF export support. Holding a Ph.D. in Computer Science from Southern Methodist University, Xiaoyu blends deep research training with production ML systems delivery and a knack for enhancing developer workflows across languages and toolchains.
5 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Southern Methodist University
A static analyzer for Java, C, C++, and Objective-C
Role in this project:
Back-end Developer
Contributions:40 reviews, 15 commits, 15 PRs in 1 year 9 months
Contributions summary:Xiaoyu integrated an infer#'s language agnostic layer into Infer, a static analyzer for Java, C, C++, and Objective-C. This integration likely involved adapting and incorporating code from another project (infer#) to extend Infer's capabilities. The contributions include adding CIL race condition detection support, .NET resource leak detection, and enhancements related to the json frontend and SARIF export. These additions show a focus on improving Infer's analysis features and expanding its support for different languages and output formats.
A static analyzer for Java, C, C++, and Objective-C
Contributions:12 PRs, 168 pushes, 24 branches in 2 years
static-analyzerobjective-ccppcode-analysisjava
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