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Daniel Spielman is a Sterling Professor at Yale University, where he is affiliated with the Applied Mathematics Program as well as the Department of Computer Science, the Department of Statistics, and the Department of Data Science. His research spans a diverse range of topics in applied mathematics, focusing on the development of algorithms and heuristics for complex problems. He is particularly noted for his work in error-correcting codes, which play a crucial role in data transmission and storage. In addition, his investigations into combinatorial scientific computing and spectral graph theory have made significant contributions to the field. Spielman's research also encompasses combinatorics, an area that studies the counting, arrangement, and combination of objects. His work has been influential in both theoretical and practical applications, and he is widely recognized for his innovative approaches to solving challenging mathematical problems.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.