Faculty Recruiting Support CICS

Cameron Musco

Assistant Professor (starting Sept 19)


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


Professor Musco studies algorithm design, with a focus on applications in data science and machine learning. His work is interdisciplinary, drawing on tools from theoretical computer science, numerical linear algebra, optimization, statistics, and biology. 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. Professor Musco is also interested in computational phenomena in biological systems, including ant colonies and neural networks. He believes that studying these systems can lead to unique insights into the nature of algorithmic robustness, randomized computation, and simple distributed protocols.


Professor Musco will join CICS in September 2019. He is currently 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

During his Ph.D., Professor Musco was awarded a National Science Foundation Graduate Research Fellowship. He has served as a reviewer for major publications in theoretical computer science, machine learning, and numerical linear algebra.