Rob Jansen
Computer Scientist at U.S. Naval Research Laboratory
Washington, District of Columbia, United States
Summary
🤩
Rockstar🎓
Top SchoolRob Jansen is a computer scientist and privacy-focused researcher with 15 years advancing anonymous communication, distributed systems security, and usable privacy technologies at the U.S. Naval Research Laboratory. He combines deep academic training (Ph.D., University of Minnesota) with practical experience analyzing real-world designs for vulnerabilities and crafting secure protocols that balance theoretical guarantees with usability and performance. His work repeatedly exposes design pitfalls in proposed anonymity systems, informing what primitives and patterns actually hold up under attack. Alongside internships at places like MIT Lincoln Laboratory and BBN, he has explored applied topics from satellite attestation to disruption-tolerant anonymity, demonstrating a pragmatic bent toward deployable security. Based in Washington, D.C., he focuses on turning hard research insights into practical, user-acceptable privacy tools.
15 years of coding experience
5 years of employment as a software developer
Ph.D., Computer Science, Ph.D., Computer Science at University of MinnesotaB.A., Computer Science, B.A., Computer Science at University of Minnesota Morris
Github Skills (85)
network-graph10
emulation10
scientific-computing10
git-repo10
linux10
markov-model10
scalability10
stateless10
shadow10
distributed-systems10
dependency-graph10
igraph10
tor10
asynchronous10
simulation10
Programming languages (13)
Github contributions (5)
robgjansen/tgen
Mar 2020 - Dec 2023
A powerful traffic generator that can model complex behaviors using an action-dependency graph
Contributions:19 pushes, 16 branches in 3 years 10 months
behaviorsdependency-graphtraffic-generatorgraphtraffic
shadow/shadow
May 2011 - Jan 2023
Shadow is a discrete-event network simulator that directly executes real application code, enabling you to simulate distributed systems with thousands of network-connected processes in realistic and scalable private network experiments using your laptop, desktop, or server running Linux.
Contributions:35 releases, 702 reviews, 2742 commits in 11 years 10 months
distributed-systemslinuxemulationsimulationnetworking
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