Jodi M. Casabianca is a measurement scientist in the Psychometric Analysis and Research group in the Research & Development division at ETS. She received a B.A. in both statistics and psychology and an M.S. in applied and mathematical statistics from Rutgers University, as well as an M.A. and a Ph.D. in psychometrics and quantitative psychology from Fordham University. She was the 2009 recipient of the Harold Gulliksen Dissertation Research Fellow awarded by ETS and a postdoctoral fellow in the Carnegie Mellon and RAND Traineeships in Methodology and Interdisciplinary Education Research program funded by the U.S. Department of Education. She was awarded an NSF grant in 2013 to expand the hierarchical rater model into a flexible modeling framework and has since focused her work on the psychometrics of analyzing ratings and raters with an eye toward producing reliable and interpretable scores. Most recently her research focuses on psychometric modeling to advance methods and processes for constructed-response (CR) scoring using both humans and machines. As part of her work in COSI, she consults with teams on improving CR score quality measures and on operational concerns using research-based solutions.