Collin Burns is an AI-focused research engineer with eight years of experience bridging cutting-edge alignment research and production-grade ML systems. He has held technical staff roles at OpenAI—where he led efforts on superalignment and generalization—and currently contributes to alignment work at Anthropic, bringing uncommon depth from a PhD in Computer Science (AI) at UC Berkeley. His background includes a visiting scholar stint at Berkeley and mathematics and CS foundations from Columbia and Penn, enabling him to navigate both theoretical and applied challenges. Known in the community as an OpenAI alignment researcher, Collin combines rigorous academic training with hands-on leadership in high-stakes safety projects.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Computer Science (Artificial Intelligence), Doctor of Philosophy - PhD Computer Science (Artificial Intelligence) at University of California, Berkeley
Bachelor of Arts - BA Computer Science, Bachelor of Arts - BA Computer Science at Columbia University
Non-Degree Student Mathematics and Computer Science, Non-Degree Student Mathematics and Computer Science at University of Pennsylvania
Contributions:2 PRs, 23 pushes, 2 branches in 16 days
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Collin Burns - Member Of Technical Staff at Anthropic