Summary
Leyan Pan is a PhD student and Graduate Teaching Assistant at Georgia Tech, advised by Prof. Wenke Lee, researching the theory and applications of machine learning and large language models in computer security. His current work centers on understanding the reasoning capabilities of LLMs and applying them to security tasks such as program analysis, with a focus on practical defenses. He previously worked with Prof. Santosh Vempala on Neural Collapse during his master’s studies and conducted a survey of homomorphic encryption schemes for resource-constrained hardware. In industry, he was a Silicon Security Engineering Intern at Facebook, where he built a firewall configuration analysis system that reduced extraction time from 30 minutes to 2–5 seconds, and an IBM X-Force Command Center Intern, delivering security demonstrations to about 100 employees. A Georgia Tech alumnus with a 4.0 GPA in BS and MS, he brings a rigorous academic background and hands-on security engineering to bridge theory and production security. Based in Atlanta, Georgia.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Science, N/A, Doctor of Philosophy - PhD, Computer Science, N/A at Georgia Institute of Technology
Chinese, English