Shane Jensen Faculty Profile

Shane Jensen
Assistant Professor of Statistics

PhD, Harvard University, 2004; AM, Harvard University, 2001; MS, McGill University, 1999; BS, McGill University, 1997

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. Improvement of current methods in statistical computing for large-scale sequence analysis. Integration of biological data for regulatory network discovery. Examination of the effects of evolution on cell regulation. Comprehensive models for player performance and prediction in baseball

Academic Positions Held
Wharton: 2004-present

Career and Recent Professional Awards; Teaching Awards
Winner of the Leonard J. Savage Award for best thesis in Application Methodology from the International Society for Bayesian Analysis

Representative Publications
(with J.S. Liu)
"Bayesian Clustering of Transcription Factor Binding Motifs." Journal of the American Statistical Association (forthcoming).

(with G. Chen and C. Stoeckert)
"Clustering of Genes into Regulons using Integrated Modeling." Genome Biology 8:R4 (2007).

(with Z. Wei)
"GAME: detecting cis-regulatory elements using a genetic algorithm." Bioinformatics 22: 1577-1584 (2006).

(with L. Shen and J.S. Liu)
"Combining phylogenetic motif discovery and motif clustering to predict co-regulated genes." Bioinformatics 21: 3832-3839 (2005).