Jimin is a fifth-year doctoral student studying the role of causal inference and advanced statistical methods to promote better learning environments for students. Her research focuses on assessing generalization methods in various conditions such as in small samples and in contexts in which core assumptions are violated. She originally comes from South Korea, and prior to coming to the U.S. for graduate study, she worked as an elementary school teacher.
Kat is a recent graduate in the Quantitative Methods doctoral program. Her dissertation comprised three methodological studies that examined the effects of participation in New York City's Gifted and Talented (GT) Program from 2006 - 2018. One study assessed the causal effects of participation using a synthetic control method. A second study examined the effects of propensity score augmentation on the improvement of estimation for subgroups of students with limited overlap. The third study used a regression discontinuity design to examine a policy change in the GT program in 2013. Prior to pursuing graduate study, Kat taught special education in the Bronx.