Our goal is to build reliable, aligned, and trustworthy AI through rigorous analysis and principled methods.
We are currently excited about:
  • Rethinking pre-training to enable better post-training for safety and adaptation
  • Mitigating reward hacking, hallucinations, and security vulnerabilities in coding agents
  • Enabling diverse and creative solutions for open-ended tasks with language models
We’re recruiting PhD students and postdocs for the 2026–2027 cycle who are interested in AI safety and the science of foundation models.

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