Our research aims to understand and predict the organization and mechanical behavior of biological and bio-inspired soft matter. In particular, we use statistical mechanics and computational modeling to extract the rules by which the micro-architecture and reorganization of active dynamic networks effect their emerging behavior. Combined with experimental work, the research will lead to soft materials that can mimic life (including adaptation, growth and adaptation) with applications to bio-technology. 

Click on the research areas below to explore our three branches of current research as they relate to the overarching theme of understanding active dynamic networks.