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Cosma Shalizi is an Associate Professor in the Department of Statistics at Carnegie Mellon University, with joint appointments in the Machine Learning Department and the Center for the Neural Basis of Cognition. He is also an external faculty member at the Santa Fe Institute. He earned his A.B. in Physics from the University of California, Berkeley in 1993, and his Ph.D. in Physics from the University of Wisconsin-Madison in 2001. Shalizi began his career at Carnegie Mellon in 2005 after completing post-doctoral positions at the Santa Fe Institute and the University of Michigan's Center for the Study of Complex Systems. His research has a strong focus on statistical inference in complex systems, emphasizing nonparametric prediction, stochastic processes, and causal inference. He also has interests in large deviations, ergodic theory, networks, information flow, neuroscience, economics, and social sciences, as well as heavy-tailed distributions and self-organization.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.