Dae Kim

As Chief Statistician, Dr. Dae Kim serves as the senior methodologist responsible for developing and advising on research designs and methods across RFA’s quantitative research projects. He has extensive experience and expertise in quantitative research methods, including group designs (e.g., randomized control trial, quasi-experimental design, propensity score matching, etc.), advanced statistical modeling (e.g., multilevel modeling, structural equation modeling, etc.), and survey data analysis (e.g., psychometrics analysis, survey weighting, etc.). Much of his research focuses on evaluating educational reform initiatives in both K-12 and post-secondary education settings, and he is broadly committed to improving educational programs for historically marginalized and underserved students.

Prior to joining RFA, Dae was a senior researcher in the Center for Elementary Mathematics and Science Education at the University of Chicago, where he led STEM-focused research studies and evaluation projects funded by NSF and the US Department of Education. He also taught quantitative research methods and education finance courses at Portland State University’s School of Education in Oregon. He received his MPA and Ph.D. in Public Administration from New York University. His research focuses on the evaluation of educational interventions in the primary, secondary, and postsecondary settings, the measurement of fidelity of implementation of education programs, and the relationships between fidelity of implementation and program outcomes. Dr. Kim has a Ph.D. from New York University.