I received my PhD in 2000 from Purdue, where I studied machine learning with Carla Brodley. My PhD work focused on developing machine learning methods for the computer security problem of anomaly detection. Most of that work was based on various forms of time series analysis. After graduating, I spent two years at the MIT AI Lab (now CSAIL) working with Leslie Kaelbling on reinforcement learning and decision-theoretic planning. Most of that work revolved around the Markov decision process formalism and the tradeoff between stochastic and deterministic planning. In 2002, I moved to the University of New Mexico as an assistant professor in the Department of Computer Science. Since moving here, I have worked on a number of application areas of ML, including the bioinformatics of RNA interference, genomics, and computational neuroscience (inference of brain activity networks from neuroimaging data). Much of my recent work has involved Bayesian networks and other statistical models. In 2008, I was promoted to associate professor at UNM and was granted tenure. (Heh. UNM missed its chance to kick me out...) During the 2008-2009 year, I spent some time on sabbatical with colleagues at the Universidad Polytecnica de Madrid (UPM), Universidad Complutense de Madrid (UCM), and the University College London (UCL). I returned to UNM in F'2009, and have continued my research program of scientific data mining and teaching machine learning and software engineering.