Jonghwan (Jay) Lee leads NWEA’s adaptive constraint engine work for state summative assessments, including preparing the engine, running simulations, and validating and improving the engine’s performance. Dr. Lee’s research interests include subscore reporting, the impact of technology-enhanced items on student assessment performance, item pool management for computerized adaptive testing (CAT), and score compatibility on CAT across administrations. Prior to joining NWEA in 2017, he worked as a senior psychometrician at Questar Assessment, where he conducted all psychometric-related tasks for various state assessment programs including item analysis, calibration and equating, standard setting, psychometric guidelines for form construction, and the creation of annual technical reports. Dr. Lee holds a PhD in measurement and quantitative methods from Michigan State University and a bachelor’s degree in electrical computer engineering from the Ohio State University.