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    Research Scientist
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  David received his Ph.D. in Philosophy from the University of California, San Diego in May, 2001. While there, his work focused primarily on experimentally testing a novel psychological theory of causal learning based on recent work on Bayesian networks. In addition to further pursuing this line of research, David has begun to develop real-time algorithms for learning causal structures, and has been a member of a mult-institution project to develop algorithms for learning genomic regulatory networks from experimental data. He currently has a joint appointment as an assistant professor of philosophy at Carnegie Mellon University. Selected papers are available at his website there.