Summary
Chuan Guo is a research-oriented machine learning engineer with nine years of experience focused on the intersection of ML and security, including adversarial robustness, differential privacy, and certified data removal. He has advanced these topics through research roles at Meta/FAIR and internships at Facebook AI and Google, with work accepted at top venues such as ICLR, ICML, and NeurIPS. Now a Member of Technical Staff at OpenAI, he blends rigorous academic training—a PhD in Computer Science from Cornell and a cryptography-focused MMath from Waterloo—with hands-on engineering of privacy- and security-aware ML systems. Beyond core research, he has contributed to large-scale text classification and neural network calibration, reflecting a rare mix of theoretical depth and practical scalability.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Cornell University
Master of Mathematics Cryptography, Master of Mathematics Cryptography at University of Waterloo