Ryan Gross
About
Ryan is a doctoral candidate in the Department of Statistics and Data Science at The Wharton School. His research involves spatiotemporal modeling of the urban environment, with a focus on Bayesian methodology. He is currently working with causal inference methods to determine the impact of vacant lot greening on outcomes such as crime rates and real estate value in the city of Philadelphia. Prior to graduate school, Ryan graduated from Rutgers University - New Brunswick, where he studied mathematics, statistics, and economics and was a member of the Men’s Cross Country and Track and Field teams.
Selected Publications
Humphrey, C., Gross, R., Small, D. S., & Jensen, S. T. (2023). Using Predictability to Improve Matching of Urban Locations in Philadelphia. The Annals of Applied Statistics, 17(3), 2659–2679.
Shane Jensen
About
Shane T. Jensen is a 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. Dr. Jensen has published over eighty academic papers in statistical methodology for a variety of applied areas, including biology, sports and social science. His current research interests include methodology for high-dimensional data, models for sports performance and urban analytics: the quantitative study of cities. In particular, he is interested in creating empirical measures of vibrancy and evaluating the association between the built environment and safety or health of urban neighborhoods.
Selected Publications
Humphrey, C., Jensen, S.T., Small, D. and Thurston, R. (2019). “Analysis of urban vibrancy and safety in Philadelphia.” Accepted for publication in Environment and Planning B: Urban Analytics and City Science. arXiv:1702.07909
Balocchi, C. and Jensen, S.T. (2019). “Spatial modeling of trends in crime over time in Philadelphia.” Accepted for publication in the Annals of Applied Statistics. arXiv:1901.08117