Research Areas
Bayesian multi-level modeling; applications in bioinformatics; statistical computing and MCMC methods; statistics in sports
Current Projects
Investigation of the sequence-based factors that influence gene expression in model organisms. Integration of biological data for regulatory network discovery. Examination of viral evolutionary response to medical therapies. Comprehensive models for player performance and prediction in baseball
Representative Publications
(with K. Shirley and A.J. Wyner)
"Bayesball: A Bayesian Hierarchical Model for Evaluating Fielding in Major League Baseball." Annals of Applied Statistics, to appear (2009).
(with A. Braunstein, A., Z. Wei, and J. McAuliffe)
"A spatially varying two-sample recombinant coalescent, with applications to HIV escape response.” Advances in Neural Information Processing Systems 21 (NIPS 2008).
(with J.S. Liu)
"Bayesian Clustering of Transcription Factor Binding Motifs." Journal of the American Statistical Association 103:188-200 (2008).
(with G. Chen and C. Stoeckert)
"Bayesian Variable Selection and Data Integration for Biological Regulatory Networks." Annals of Applied Statistics 1:612-633 (2007).
(with G. Chen and C. Stoeckert)
"Clustering of Genes into Regulons using Integrated Modeling." Genome Biology 8:R4 (2007).
Education
PhD, Harvard University, 2004; AM, Harvard University, 2001; MS, McGill University, 1999; BS, McGill University, 1997
Career and Recent Professional Awards; Teaching Awards
Leonard J. Savage Award for best thesis in Application Methodology from the International Society for Bayesian Analysis (2005). David W. Hauck Award for Outstanding Teaching (2009).
Academic Positions Held
Wharton: 2004-present
