Summary
Jiacen Xu is a security researcher based in Redmond with a decade of experience at the intersection of graph security, LLM-driven security analysis, and trustworthy AI. Currently at Microsoft after internships at IBM and earlier research roles at UC Irvine, CUHK, Fudan, and UIUC, he blends deep academic training (PhD student in Computer Engineering) with hands-on industry research. His work emphasizes practical defenses and novel attack analyses on graph-structured data and large models, and he documents findings and tools on his personal site. Colleagues describe him as willing to take intellectual risks—a trait echoed in his GitHub motto—and he routinely bridges theoretical insight with reproducible experiments.
10 years of coding experience
1 year of employment as a software developer
Master's degree, Cyber Space Security, Master's degree, Cyber Space Security at Shanghai Jiao Tong University
University of California, Irvine