My dissertation work is predominately in the philosophy of physical computation. I argue for the surprising conclusion that different theories (non-semantic, semantic, mechanistic) address different questions about physical computation. They are, as a result, complementary rather than competing. I draw this result from studying the logical connections between the theories including the historical foundations and assumption that lead to their formulation. Some views offer a theory of implementation, some offer a theory of interpretation, and some offer an account of the physical implementing mechanisms. I develop a framework for understanding how these different theories fit together. 

My work generally always has an interdisciplinary component. I often work at the intersection of philosophy and the following fields: cognitive science, neuroscience, computer science, and engineering.  Some of my current projects include:  

The nature of physical computation including different aspects of physical computation. Much of this project is an extension of my dissertation work.  

Computational explanations in cognitive science, i.e. how we should understand the relationship between the models and the physical systems they describe and the different types of explanations that can be given and how they might work together. 

Neuro-technology, such as BCI's (brain-computer-interface technology), and how they might have different philosophical implications (bioethical, metaphysical, and political). 

The nature of mental representations, i.e. how the concept is deployed in neuroscience, physical realizers, and relatedly, what a representation is in a computational process (especially biophysical).