Frank Li is a Ph.D. Candidate in Computer Science at UC Berkeley, advised by Prof. Vern Paxson. Frank’s research interests are broadly in the areas of network security, privacy, and measurement. Using various empirical methods, his research brings empirical grounding to the study of Internet security in practice, while providing evidence-based guidance on the design of methods and systems for improving security at an Internet scale. His work spans various topics, from Internet-wide outreach to vulnerability patching. He is the recipient of a NSF Graduate Research Fellowship (GRFP) and a National Defense Science and Engineering Graduate Fellowship (NDSEG). His research has been distinguished with a Best Paper Award at the ACM Internet Measurement Conference (IMC), and his teaching has been recognized with a UC Berkeley Outstanding Graduate Student Instructor award. Frank received his Bachelor’s from MIT.