Danial has over six years of research experience, including a considerable background in complex quantitative data analysis. His experience includes the gathering, cleaning, and merging of datasets, as well as working with large, pooled cross-sectional datasets. At Gibson, he has recently conducted analytic work for projects, including surveys for measuring and reporting Indicator 8 for the Office of Special Education Programs for New Hampshire and Texas, studies of Pre-Kindergarten Participation and Kindergarten Readiness in New Mexico for the Southwest Regional Education Laboratory, and evaluations of the College Completion Project for AVID Center and of the AVID program for Lee County Schools in North Carolina.
Prior to joining Gibson, Danial worked as a Research and Teaching Fellow at the University of Pittsburgh, where he regularly presented complex methodological and theoretical material to non-experts. His work there focused on analyzing theoretical structures in survey data. He has also spent time volunteering for an international educational organization. Danial holds a Master of Science from the University of Utah and is working on his dissertation at the University of Pittsburgh to earn his PhD in Political Science with emphases on Methods, Comparative Politics, and International Relations. He has received extensive graduate training in research design and econometrics, including through additional econometric training at the University of Michigan.