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Cosma Rohilla Shalizi (born February 28, 1974) is an assistant professor in the Department of Statistics at Carnegie Mellon University in Pittsburgh.

Shalizi is co-author of the CSSR algorithm, which exploits entropy properties to efficiently extract Markov Models from time-series data without assuming a parametric form for the model.[1]

According to a ranking published on the Nature website, Shalizi's "Three-Toed Sloth" is among the 50 most popular science blogs.[2]

Background Edit

Born in Boston, Shalizi lived there for the first two years of his life before moving to Bethesda, Maryland where he grew up.

In 1990 he was accepted as a Chancellor's Scholar at the University of California, Berkeley, and completed a bachelor's degree in Physics. Subsequently, he attended the University of Wisconsin-Madison where he received a doctorate in physics in May 2001. From 1998 to 2002, he worked at the Santa Fe Institute, in the Evolving Cellular Automata Project and the Computation, Dynamics and Inference group. Afterwards, from 2002 to 2005, he worked at the Center for the Study of Complex Systems at the University of Michigan in Ann Arbor.

In August 2006, he became an assistant professor in the Department of Statistics at Carnegie Mellon University in Pittsburgh.[3]

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External linksEdit

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