Joel Frank
Software Engineer at Meta
City of London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolJoel Frank is a software engineer and PhD candidate focused on the intersection of machine learning and cybersecurity, currently building systems at Meta with 11 years of engineering experience. His research blends hands-on tooling and high-impact publications—ranging from automated Rust-based smart-contract analysis that scaled to scan entire blockchains to ICML and Usenix Security papers on deepfake detection and adversarial attacks on Bayesian neural networks. He teaches and mentors, co-designing a practical ML & IT-security course and supervising experiments that bridge academic rigor with reproducible engineering. Based in London, Joel pairs production-grade engineering (PyTorch, Pyro, TensorFlow, Rust, Go) with deep domain expertise in safety, interpretability, and adversarial robustness, often turning novel research ideas into open-source tools and media-covered projects.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MS, IT-Security, Master of Science - MS, IT-Security at Ruhr-Universität Bochum
Github Skills (27)
password-generator10
markov10
kernel9
cpp8
hardware8
classifier8
fuzzer7
fuzzing7
markov-model6
reverse-engineering6
adversarial-attacks5
ccpa5
x864
control-flow4
privacy-protection4
Programming languages (8)
Github contributions (5)
This-PIN-Can-Be-Easily-Guessed/This-PIN-Can-Be-Easily-Guessed.github.io
Mar 2020 - Oct 2021
Contributions:17 commits in 1 year 7 months
RUB-SysSec/nautilus
Mar 2019 - Apr 2020
a grammar based feedback fuzzer
Contributions:3 commits, 4 pushes, 1 branch in 1 year 1 month
fuzzer
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