Damon Falck is a machine learning researcher at Inherent. His work focuses on ensuring the development of safe, aligned superintelligence that benefits humanity by accelerating scientific discovery. Falck's research interests include modern reinforcement learning (RL) and meta-learning, automated research, superintelligence alignment, and safe recursive self-improvement.

Prior to his current role, Falck was a Member of Technical Staff at Inherent.