Summary
Shengye Wan is a research scientist with a decade of experience building security-enhancement frameworks for Android, Python, and C/C++ at Meta, combining deep systems expertise with practical product impact. He holds an MS and PhD in Computer Science from William & Mary and a CS bachelor’s from HUST, and has focused research on ARM TrustZone, multi-core trusted applications, and memory safety. His work has influenced Python’s ecosystem (PEP 675) and produced open-source tooling like SafeC and a Rust TrustZone SDK, reflecting a blend of standards, tooling, and applied research. Shengye’s background spans academia and industry—from anti-crawler research and teaching to internships securing Android WebView—giving him a rare end-to-end perspective on system security. Colleagues value his ability to translate low-level vulnerability insights into high-impact guardrails and evaluation frameworks for modern AI and platform software.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, 81.04 / 100.00 (Grade 85 equals GPA 4.0 in HUST), Bachelor's degree, Computer Software Engineering, 81.04 / 100.00 (Grade 85 equals GPA 4.0 in HUST) at Huazhong University of Science and Technology
Master of Science - MS, Computer Science, 3.85 / 4.00, Master of Science - MS, Computer Science, 3.85 / 4.00 at William & Mary
English, Chinese