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Daniel Spielman is a Sterling Professor in the Department of Computer Science at Yale University. His research interests include design analysis algorithms, network science, machine learning, digital communications, and scientific computing. He has received numerous awards throughout his career, including the prestigious Gödel Prize and the MacArthur Fellowship, recognizing his significant contributions to the field of theoretical computer science. His work often intersects with various mathematical disciplines, evidencing his expertise not only in computer science but also in statistics, data science, and applied mathematics. Spielman has been an invited speaker at several international mathematicians' congresses and has received fellowships from major organizations such as the Association for Computing Machinery and the Alfred P. Sloan Foundation. His extensive publication record includes influential papers in leading scientific journals, highlighting his role in shaping contemporary understanding of linear systems, graph theory, and algorithmic efficiency.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.