Keith's research is in Artificial Intelligence (AI) and Artificial Life (ALife), with an additional focus on Computational Neuroscience.

Keith works with Bio-Inspired approaches to Artificial Intelligence (AI), an area at the intersection of several fields: AI, Artificial Life (ALife), Computational Neuroscience, and Cognitive Science.  His main interest is in the simulated evolution of neural networks, which, again, lies between two main research disciplines: Evolutionary Algorithms (EAs) and Artificial Neural Networks (ANNs).  He is currently finishing up his first book, "Intelligence Emerging", to be published by MIT Press in 2015.

Keith teaches several of NTNU's AI classes, with contributions varying from full responsibility to a few lectures each semester.  These classes include: Introductory AI, AI Programming, and Subsymbolic AI Methods, along with less-frequent lectures in Machine Learning and AI Methods.