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| Curriculum Vitae |
Research |
| I am a Ph.D. candidate in the Knowledge Discovery Laboratory studying under David Jensen. My dissertation research focuses on improving the structural accuracy of learning algorithms for Bayesian networks. In particular, I am developing new approaches for causal modeling that integrate strategies from constraint satisfaction with traditional causal learning algorithms. My broad interests include causality and experimental design, knowledge discovery, collective classification, fraud detection, and social network analysis. Applications I have worked on include automated detection of securities fraud in the US securities industry, modeling users in peer-to-peer music file sharing networks, citation analysis of academic fields, and predicting the playoff performance of NFL head coaches. |
News |
| 3/2009 - I am actively seeking a research or applied research position in industry starting on or about September 1, 2009. Please see my publications below, my CV, or contact me via email for additional information. |
Publications |