Cameron Musco

Interests

Algorithm design, theoretical computer science, numerical linear algebra, machine learning & data science, biological distributed algorithms.

Research

Professor Musco studies algorithm design, working at the intersection of theoretical computer science, numerical linear algebra, data science, and machine learning.  He is particularly interested in the power of randomized approximation 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 to data science and machine learning.

Biography

Professor Musco joined CICS in September 2019. Previously, he was a Postdoctoral Researcher at Microsoft Research New England. He completed Ph.D. in computer science at MIT, where he was a member of the Theoretical Computer Science and Theory of Distributed Systems groups. Professor Musco received a B.S. in computer science and applied mathematics from Yale University.

Activities & Awards

Professor 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 serves on program committees and reviews for top venues in theoretical computer science, machine learning, and numerical computation.