Summary
Xiang Cheng is a research scientist and PhD candidate in Computer Science with nine years of experience at the intersection of security, privacy, and mobile systems. He has led research in mobile privacy, secure localization, and wireless security at Virginia Tech and translated those topics into production-focused work at Meta, where he now builds on-device ad ranking and allocation systems. A top graduate from UESTC, Xiang blends rigorous academic methods with practical engineering across Android/iOS backends and privacy infrastructure. His background includes cross-institution collaboration as a visiting scholar and internships that bridged privacy research and system design. Known for applying machine learning to security problems, he focuses on end-to-end solutions that respect user privacy while optimizing product outcomes. Based in Menlo Park, he operates comfortably between research prototype and large-scale deployment.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering - BE, Electronics and Electrical Engineering, Bachelor of Engineering - BE, Electronics and Electrical Engineering at University of Glasgow
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Virginia Tech
Bachelor of Engineering - BE, Electronics and Electrical Engineering, Bachelor of Engineering - BE, Electronics and Electrical Engineering at University of Electronic Science and Technology of China