Analysis,
CyberAI Project

Colin Shea-Blymyer

Research Fellow Print Bio

Colin Shea-Blymyer is a Research Fellow at Georgetown’s Center for Security and Emerging Technology (CSET), where he works on the CyberAI Project. His research has spanned safe reinforcement learning, formal methods, adversarial machine learning, and AI ethics. Previously, he was a graduate researcher with MITRE, where he helped establish the National Institute of Standards and Technology (NIST) program on adversarial machine learning research at the National Cybersecurity Center of Excellence (NCCOE). He holds an MS and BS in Computer Science from Virginia Tech. He has a PhD in Computer Science and Artificial Intelligence from Oregon State University, where he was an Outstanding Scholar Fellow.

Related Content

Reports

Harmonizing AI Guidance: Distilling Voluntary Standards and Best Practices into a Unified Framework

 September 2025

Organizations looking to adopt artificial intelligence (AI) systems face the challenge of deciphering a myriad of voluntary standards and best practices—requiring time, resources, and expertise that many cannot afford. To address this problem, this report… Read More

Revisiting AI Red-Teaming

 September 2024

This year, CSET researchers returned to the DEF CON cybersecurity conference to explore how understandings of AI red-teaming practices have evolved among cybersecurity practitioners and AI experts. This blog post, a companion to… Read More

How I Won DEF CON’s Generative AI Red-Teaming Challenge

 September 2024

In August 2024, CSET Research Fellow Colin Shea-Blymyer attended DEF CON, the world’s largest hacking convention to break powerful artificial intelligence systems. He participated in the AI red-teaming challenge, and won. This blog post details… Read More