Summary
Shujiang Wu is a security researcher and Ph.D. from Johns Hopkins University with nine years of experience specializing in browser privacy, attack, defense, and detection. Now at F5, he designs client-side signals and device-linking features to detect bot and fraud activity, and previously improved anti-scraping signals during an SDE internship at Meta. His research spans practical attacks (rendering contention channels) and defenses (deterministic browser and uniform GLSL execution), with multiple papers in top Security/Privacy venues demonstrating both offensive creativity and deployable mitigations. Technically fluent across full-stack web development, browser internals (C++, WASM, GLSL), and ML/statistics (PyTorch LSTM), he bridges low-level browser engineering and large-scale detection systems. An underappreciated strength is his track record of turning academic findings into production signals used at major platforms like Meta and F5.
9 years of coding experience
1 year of employment as a software developer
Johns Hopkins University
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Beihang University
Doctor of Philosophy - PhD, Web security, Doctor of Philosophy - PhD, Web security at Lehigh University