Shane Jensen, Ph.D., is an Associate Professor of Statistics in the Wharton School at the University of Pennsylvania, where he has been teaching since completing his Ph.D. at Harvard University in 2004.
Jensen has published over forty academic papers in statistical methodology for a variety of applied areas, including molecular biology, psychology and sports. He specializes in the development of hierarchical models and semi-parametric approaches within the Bayesian framework.
Jensen’s research interests include DNA sequence analysis, gene regulatory networks, and genome evolution. His doctoral dissertation on “Statistical methods for elucidating cell regulation” won the Leonard J. Savage Award for best thesis in application methodology from the International Society for Bayesian Analysis. Jensen also maintains an active research program in statistical models for the evaluation of performance in sports.
In 2009, he received the David W. Hauck Award for Outstanding Teaching.
To visit his academic web page, click here.