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Sabyasachi Chatterjee is an Associate Professor in the Department of Statistics at Illinois University. He focuses on nonparametric signal estimation and shape constrained estimation, which includes properties such as monotonicity, convexity, and unimodality. His expertise extends to statistical information theory and encompasses fundamental research in statistics, data science, and big data analytics. He obtained his PhD in Statistics from Yale University in 2014 and has since made significant contributions to the field through both teaching and research.
GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.