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Daniel Spielman is a Sterling Professor of Computer Science at Yale University, with additional appointments in Statistics & Data Science, Mathematics, and Applied Mathematics. He earned his Ph.D. from the Massachusetts Institute of Technology and has published extensively in areas such as design analysis algorithms, network science, machine learning, and digital communications scientific computing. Spielman has received numerous prestigious awards for his contributions to mathematics and computer science, including the Gödel Prize and the Polya Prize. His work often focuses on creating efficient algorithms for complex computations, influencing both theoretical and applied aspects of computing. He has been invited to speak at the International Congress of Mathematicians multiple times and has held several fellowships and investigator positions, including being named a MacArthur Fellow and a Simons Investigator. His research also encompasses work related to low-density parity-check codes and graph theory, showcasing his versatility across multiple domains of mathematical inquiry.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.