I studied Computer Science at the University of Washington, Seattle. Later I did a Ph.D. in Biomathematics, focused on learning causal networks, at UCLA. I have worked on software for virtual reality navigation, learning Bayesian Networks, understanding gene networks, and fighting email fraud. Major projects have included building predictive models for high-frequency trading, and doing quality assurance for an intelligence-community platform. My interests are in time series processing, distributed systems, machine learning, and languages. In my spare time I enjoy tennis, cycling, and hiking. My favorite programming languages are R and Go.