Bio
I received my doctorate in Artificial Intelligence in 2012 from the University of New Hampshire. The focus of my dissertation was on finding ways to reduce the time taken by heuristic search algorithms by sacrificing limited amounts of solution quality specified by the user of the algorithm. Since finishing my PhD, I’ve been working on a wide variety of problems, including static analysis and computational geometry. In all of those endeavors, I’ve found techniques such as heuristic search and machine learning to be extremely helpful when applied judiciously.