VIDA Center faculty member Christopher Musco receives rank of Institute Associate Professor

Christopher Musco (CSE, VIDA) focuses on the algorithmic foundations of data science and machine learning; his overall aim is to democratize big-data processing by developing new algorithms capable of efficiently processing the world’s largest datasets without the need for the world's largest supercomputers. A former recipient of a Junior Faculty Research Award, he also holds an NSF CAREER Award supporting his work on a powerful algorithmic technique known as “matrix sketching,” the purpose of which is to quickly compress a large dataset (represented as a matrix of numbers) down to its most essential information by eliminating redundancy and noise.