I’ve published academic research on a variety of data science topics including anomaly detection, visualization and systems for performing data science as a service. I recently won gold in a time-series prediction competition, after developing time-series prowess during a period of obsession with equity price prediction. My long-term research interest is the emergence of identity, classification, space-time, and physical behavior from monist automata. Before starting university, I worked in industry developing back office systems, productivity applications, and sales analysis software. When I’m not at work, I can be found cooking, hiking, running or reading sci-fi.