George Perrett

George Perrett is a Visiting Assistant Professor in the Department of Applied Statistics, Social Science, and Humanities at New York University's Steinhardt School of Culture, Education, and Human Development. He holds degrees from the University of Wisconsin-Madison (Psychology), University of Michigan (Public Health), and New York University (Applied Statistics).

His research focuses on bridging causal inference methodologies with applied research through software development. Key projects include leading thinkCausal (BART-based causal analysis tool) and stan4bart (multilevel BART extensions). His work emphasizes Bayesian methods over traditional approaches like propensity score matching.

With early career experience in randomized controlled trials for educational interventions, Perrett designs tools tailored to educational researchers' needs. He has presented at the American Causal Inference Conference and NYC R Conference, highlighting his contributions to statistical cognition and real-world evidence applications.