Joseph Lucas

Senior Manager, AI Red Team at NVIDIA

San Antonio, Texas, United States
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Summary

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Senior
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Top School
Joseph Lucas is a Principal AI Security Researcher leading NVIDIA's Red Team with a decade of experience at the intersection of AI, security, and data. He combines military cyber leadership and hands-on ML research to design rigorous, data-driven defenses for systems of national and global significance. His background spans roles at AWS, the US Army, and defense research organizations, giving him deep operational insight into adversary tactics and secure program management. An active contributor to open-source governance, he serves on Project Jupyter’s Security Council and chaired NumFOCUS’s Security Committee, bridging community standards with enterprise practice. Joseph is known for building diverse, interdisciplinary teams that translate complex security problems into measurable, auditable solutions. He is based in San Antonio, TX, holds an MS in Computer Science from Georgia Tech and a BS in Mathematics from West Point, reflecting both technical depth and disciplined leadership.
code10 years of coding experience
job1 year of employment as a software developer
bookBachelor of Science (BS) Mathematics, Bachelor of Science (BS) Mathematics at United States Military Academy at West Point
bookMaster of Science (MS) Computer Science, Master of Science (MS) Computer Science at Georgia Institute of Technology
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Github Skills (105)

python10
infosec10
cybersecurity10
statistics10
credentials10
data-science10
verification10
data-analysis10
ctf10
open-source10
machine-learning10
pattern-matching10
adversarial-machine-learning10
scanning10
javascript9

Programming languages (10)

TypeScriptShellCTeXScalaGoHaskellHTML

Github contributions (5)

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JosephTLucas/vger

Feb 2024 - May 2025

An interactive CLI application for interacting with authenticated Jupyter instances.
Contributions:7 releases, 5 PRs, 21 pushes in 1 year 3 months
cli-applicationjupyteroffsecaisecuritymlsecops
JosephTLucas/HackThisAI

Oct 2021 - Sep 2022

Adversarial Machine Learning (AML) Capture the Flag (CTF)
Contributions:175 commits, 16 PRs, 177 pushes in 11 months
adversarial-machine-learningctfmachine-learningartificial-intelligencedata-science
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