Summary
Zichuan Li is a Ph.D. student at UIUC specializing in the intersection of AI and computer system security, with eight years of experience spanning research and industry internships. He has practical exposure to security tooling and product engineering from internships at Vector 35 and OPPO, translating research questions into prototype systems. His academic path includes advanced study in cyberspace and information security from Wuhan University and doctoral work begun at Indiana University Bloomington before transferring to UIUC. Zichuan blends deep technical rigor with applied experimentation, often focusing on how machine learning techniques can both expose and mitigate system vulnerabilities. Colleagues value his ability to move from theory to reproducible implementations, and he frequently bridges academic research with pragmatic engineering constraints. Based in Champaign, Illinois, he brings a global perspective informed by education and experience across China and the United States.
8 years of coding experience
Master of Engineering - MEng, Cyberspace Security, Master of Engineering - MEng, Cyberspace Security at 武汉大学
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Indiana University Bloomington
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at 美国伊利诺伊大学香槟分校