Chris Cundy is a Research Scientist at FAR.AI. He is interested in how to detect and avoid misaligned behavior induced during training.

He received his PhD in Computer Science at Stanford University, advised by Stefano Ermon. During his PhD he published on topics including Causal Inference, Reinforcement Learning, and Large Language Models.

He has previously worked at CHAI, FHI, and was a winner of the OpenAI preparedness challenge.