Who Are We?

George Perrett leads the development of thinkCausal, and is currently a Visiting Assistant Professor in the Department of Applied Statistics, Social Science, and Humanities (ASH) Department at NYU. He has degrees in Psychology (University of Wisconsin-Madison), Public Health (University of Michigan) and Applied Statistics (New York University). He focuses on developing software and methods that can bridge causal inference methods from the field of statistics and the work of applied researchers. His focus is particularly on BART, as BART methods have the potential to make fewer assumptions and have been shown to perform better in many settings than popular methods such as propensity score matching. Simultaneously, he has worked on developing simulation methods to evaluate the effectiveness of novel applications of Bayesian Additive Regression Trees for educational research settings such as stan4bart which extends traditional BART models to multilevel contexts.

Jennifer Hill is the Co-Chair of the Department of Applied Statistics, Social Science, and Humanities (ASH) Department as well as the Co-Director of the Center for Practice and Research at the Intersection of Information, Society, and Methodology (PRIISM) at NYU.

Marc Scott is also the Co-Chair of the Department of Applied Statistics, Social Science, and Humanities (ASH) Department as well as the Co-Director of the Center for Practice and Research at the Intersection of Information, Society, and Methodology (PRIISM) at NYU.