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