Sam Dillavou

Sam Dillavou is a physicist interested in the overlap between physics and machine learning, and how the two fields can inform and support each other. His projects include building physical systems that can perform machine learning tasks (learn) without a processor, studying complex systems like granular flows that have resisted understanding using standard statistical methods, and using machine learning to make experimental science easier and more accessible.