Dynamically decomposing complex tasks into reusable sub-policies remains a core challenge in Reinforcement Learning. Tangled Program Graphs, a genetic-programming framework for general-purpose machine learning (applied here to reinforcement learning),...

The increasing prevalence of antibiotic-resistant bacteria in healthcare settings is threatening conventional methods of infection control and prevention. Certain injuries, like burns in which the immune response to the infection site is ...

Valvular heart disease, particularly aortic stenosis, presents significant challenges in cardiovascular care, as traditional diagnostic and prognostic methods often struggle to provide timely and accurate risk stratification. Conventional interventional...

Auditory-motor and interpersonal synchrony are core human abilities that support both everyday activities and artistic performance. This dissertation investigated synchrony across two ends of a spectrum: children at risk for developmental coo...