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Ronald Coifman is a Sterling Professor of Mathematics and Computer Science at Yale University, well-known for his research in Nonlinear Fourier analysis, wavelet theory, and numerical analysis. His work focuses on developing new mathematical tools for the efficient computation and transcription of physical data, which have applications in various areas including numerical analysis, feature extraction, recognition, and denoising. Through his contributions, Coifman has advanced the field, making significant impacts on both theoretical and practical aspects of mathematics and computer science.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.