Caspar Oesterheld

Caspar Oesterheld is a researcher at Redwood Research where he works on improving models' conceptual reasoning capabilities, i.e., their reasoning about questions where we cannot verify the answer and the best way to make progress is through argumentation. Much of this work has been done in collaboration with Anthropic.

​

Previously, he completed his computer science PhD at Carnegie Mellon University where he was assistant director of the Foundations of Cooperative AI Lab. Caspar has published about multi-agent AI interactions, decision theory in Newcomb-like decision problems, and, informally, about how models reason about conceptual questions. He has served as a research mentor for MATS, PIBBSS, CLR and astra (incoming).