Hadas Eidelman loves using large datasets and statistical methods to address pressing research questions in education and human development. She is deeply interested in communicating complicated quantitative concepts to general audiences, through innovative visuals and clear language. Her research background includes large-scale quantitative studies of special education policy, family mental health, childhood psychopathology, and the longitudinal modeling of students’ developmental trajectories. Hadas received her doctorate in Education from the Harvard Graduate School of education in 2014. Prior to joining VPAL, Hadas worked as an adjunct lecturer of statistical analysis at the Harvard Graduate School of Education, a founding partner in a research consultancy company, a pre-Kindergarten teacher, a preschool administrator, an early childhood art educator at a museum, and a video store clerk.