Ken Haase is an engineer-scientist-philosopher trying to understand the complex evolving ecology which is human understanding and to implement systems which expand and enhance insight and understanding. Trained in philosophy and artificial intelligence and inspired by the complex dynamic cycles of the natural world, I build systems which learn and understand in order to help people better manage and grasp the complex universes of information we depend on. This practice includes a lifelong fascination with creativity: the means by which mind evolves to better align an unlikely world which it half understands. He was a professor at the MIT Media Laboratory, working on semantically rich metadata and radically case-based representations. This work included infrastructure work on very large knowledge bases, linguistic work on fast robust shallow parsing, development of knowledge and language based information retrieval, and devising highly efficient (amortized linear time) analogical matching algorithms to support case-based knowledge representations.