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Christopher Musco is an Institute Associate Professor at NYU Tandon School of Engineering, specializing in Computer Science. His research focuses on the algorithmic foundations of data science and machine learning, emphasizing efficient methods for processing and understanding data. He works at the intersection of theoretical computer science, numerical linear algebra, and optimization. Musco holds a Ph.D. in Computer Science from the Massachusetts Institute of Technology and a B.S. in Applied Mathematics and Computer Science from Yale University. His research interests include scalable machine learning, foundations of data science, numerical linear algebra, theory of algorithms, randomized algorithms, and sketching for streaming data analysis. He is involved in various research centers and labs, contributing significantly to the areas of visualization and imaging data analysis.
Administered by the Department of Electrical and Computer Engineering.