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Sean Reardon is a Professor at Stanford University, focusing on educational inequality and the effects of educational policy on social inequality. He is the director of the Stanford Interdisciplinary Doctoral Training Program in Quantitative Education Policy Analysis and has developed the Stanford Education Data Archive (SEDA), which is based on 300 million standardized test scores. SEDA provides valuable data on educational opportunities and achievement gaps across public school districts. Reardon's research interests include the causes, patterns, trends, and consequences of social and educational inequality. He received his doctorate in education from Harvard University in 1997. He is a member of the National Academy of Education and the American Academy of Arts and Sciences, and has received multiple accolades including the William T. Grant Foundation Scholar Award and the National Academy of Education Postdoctoral Fellowship.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.