Summary
Lan Zhang is an assistant professor and cybersecurity researcher with 11 years of industry and academic experience focused on adversarial AI, malware, and privacy-preserving systems. Now on faculty at Northern Arizona University after completing a PhD at Penn State, she has developed RL-based attacks on graph and network detectors, generated evasive malicious packets, and applied NLP to derive firmware emulation rules for automated testing. Her background includes deep-learning malware detection and distance-preserving, differentially private encodings from Tsinghua, plus applied data science internships at Baidu and Amazon where she worked on large-scale relation extraction and offline reinforcement learning. Comfortable moving between theory and practice, she blends rigorous privacy guarantees with hands-on adversarial experimentation and has a track record of turning novel research into practical attack-and-defence tools.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Cybersecurity, Doctor of Philosophy - PhD, Cybersecurity at Penn State University
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Beijing Jiaotong University
Master's degree, Computer Software Engineering, Master's degree, Computer Software Engineering at Tsinghua University