Cameron Musco

Cameron Musco joined CICS in September 2019. Previously, he was a postdoctoral researcher at Microsoft Research New England. He completed his PhD in computer science at MIT, where he was a member of the Theoretical Computer Science and Theory of Distributed Systems groups. Musco received a BS in computer science and applied mathematics from Yale University.

Cameron Musco studies algorithm design, working at the intersection of theoretical computer science, numerical linear algebra, and machine learning. He is particularly interested in the power of randomized algorithms and in streaming, distributed, and low-memory computation. His most significant contributions have been in developing fast randomized methods for fundamental linear algebraic problems, often with applications in data science and machine learning.

Musco has received an NSF Career award, a Google Research Scholar award, and an NSF Graduate Research Fellowship. He is also a recipient of the UMass CICS Dean's Award for Anti-Racism Leadership. He regularly reviews and serves on program committees for top venues in theoretical computer science, machine learning, and numerical computation.