I am a second-year Ph.D. student in Computer Science at the University of Chicago, advised by Victor Veitch. My research is about understanding how Large Language Models (LLMs) reach decisions, and how this informs agentic safety evaluations for e.g. deception or collusion; hence my research lies at the intersection of causality, interpretability, and game theory.

Contact

Email: davidpreber@gmail.com