Research Scientist at Rochester Institute of Technology
Ann Arbor, Michigan, United States
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Summary
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Senior
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Nate Mathews is a research scientist and PhD candidate at Rochester Institute of Technology with nine years of experience applying machine learning to cybersecurity, privacy, and network traffic analysis. He has pioneered deep-learning and transformer-based approaches for website fingerprinting and flow correlation attacks, producing papers at ACM CCS and IEEE S&P and helping secure over $1M in related grants. Nate bridges offensive and defensive research, developing models that both expose and mitigate privacy vulnerabilities in anonymity networks and achieving substantial reductions in flow-correlation error through deep metric learning. He also teaches advanced cybersecurity and ML courses, created a novel LLMs-in-cybersecurity class, and mentors students in experimental design and publication. Based in Rochester, NY, he is active on GitHub and maintains a personal project site that documents his publications and tooling. Colleagues describe him as a pragmatic researcher who moves rapidly from theoretical insight to reproducible code and real-world evaluation.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computing and Information Sciences, Doctor of Philosophy - PhD, Computing and Information Sciences at Rochester Institute of Technology
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