2006 - 2007 Academic Year Fellows
Emily Art
Emily is the Director of Special Education Curriculum at the Relay Graduate
School of Education. She received her M.A. from the Department in Sociology in 2008, focusing on urban education, special education, and economic stratification. Prior to her current position, Emily worked at Uncommon Schools in a variety of roles, including Director of Staff Development and Learning Support Coordinator. Prior to beginning her graduate studies, Emily was a teaching fellow in special education with the New York City Department of Education.
Julia Burdick-Will
Julia Burdick-Will is an Associate Professor in the Department of Sociology and the School of Education at Johns Hopkins University. She received her PhD from the University of Chicago in 2012 and was a Postdoctoral Research Associate at the Population Studies and Training Center at Brown University. Her research combines the sociology of education and urban sociology to study the roots of educational inequality and examine the dynamic connections between communities and schools that shape opportunities to learn. She has studied the effects of concentrated neighborhood poverty on cognitive development, the geography of elementary school openings and closings, school segregation dynamics, and the impact of neighborhood and school violence on student test scores, attendance, school transfers, and enrollment patterns.
Andrew Mattarella-Micke
Andrew is currently a Senior Data Scientist at Intuit. He has recently created a spoken language classifier that records and identifies 19 different languages. Previously, he completed postdoctoral fellowships at the Educational Cognitive Neuroscience Lab at Stanford University, and in the Department of Psychology and Human Development at Vanderbilt University. As an IES fellow, Andrew received his Ph.D. from the Department of Psychology at UChicago in 2012. Andrew’s research gathers evidence from behavior, neuroimaging, and physiology in order to examine the educational implications of basic cognitive science. More specifically, he is interested in the cognitive and neural foundations of outcomes in mathematical education, typical and atypical trends in numerical development, and the impacts of negative affective reactions (such as math anxiety) on performance.
Daniel Ramsey
Danielis an Associate at Cornerstone Research Consulting. Cornerstone Research provides economic and financial analysis in all phases of commercial litigation and regulatory proceedings. Daniel received his Ph.D. from the Economics Department at UChicago in 2012, and his BA from Harvard University in 2004. Before his current position, Daniel worked on the Council of Economic Advisors. His research focuses on estimating teacher quality and developing best practices for teachers, as well as investigating the role of financial assistance in educational attainment. He also researches the role of schools and teachers in developing children’s non-cognitive skills.