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David Woodruff is a professor in the Computer Science Department at Carnegie Mellon University. His research focuses on algorithms, particularly in the areas of communication complexity, data stream algorithms, graph algorithms, numerical linear algebra, sketching, and sparse recovery. Woodruff has made significant contributions to the field of machine learning and has published numerous papers on these topics. He teaches various computer science courses and supervises students in their research endeavors. Woodruff is known for his expertise in developing efficient algorithmic solutions and pushing the boundaries of computational theory. He is actively involved in guiding graduate research in these complex and highly relevant areas of computer science.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.