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Providing expert commentary on urban topics and highlighting Penn IUR's research in the context of pressing urban issues.
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.
Providing expert commentary on urban topics and highlighting Penn IUR's research in the context of pressing urban issues.