Vern Paxson
Chief Scientist at Corelight, Inc
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolVern Paxson is a veteran computer scientist and security leader with 11 years noted industry experience and a multi-decade research career, currently serving as Chief Scientist at Corelight in the San Francisco Bay Area. He bridges deep academic roots—a PhD from UC Berkeley and long tenures as a UC Berkeley professor and director of ICSI’s Networking and Security Group—with hands-on engineering, contributing to the Zeek network analysis framework where his backend work improves script execution and core analysis capabilities. Known for translating rigorous research into production-grade network security tools, he focuses on scalable, auditable network visibility rather than conventional IDS approaches. Paxson combines strategic leadership with frequent low-level systems work, making him equally comfortable shaping research agendas and shipping critical code. An underappreciated strength is his ability to influence both the research community and commercial product roadmaps, aligning long-term protocol insight with operational security needs.
11 years of coding experience
23 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Github Skills (6)
network-analysis10
develop9
code-optimization9
cprogramming-language7
system-design7
c-language7
Programming languages (7)
Github contributions (5)
zeek/zeek
Apr 2018 - Jan 2023
Zeek is a powerful network analysis framework that is much different from the typical IDS you may know.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:437 reviews, 2033 commits, 207 PRs in 4 years 9 months
Contributions summary:Vern primarily contributes to the Zeek network analysis framework, focusing on improving its functionality and efficiency. The commits demonstrate involvement in adding features, resolving bugs, and refactoring code for the underlying system. Their work centers around enhancing the analysis, especially with changes to support script execution.
dfirnsmsecurityanalysisnetworking
zeek/gen-zam
Aug 2022 - Jan 2025
A templator for the Zeek Abstract Machine
Contributions:2 reviews, 10 PRs, 28 pushes in 2 years 5 months
zeek
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