So Long, Equations; Goodbye, Variables

Yannis Kevrekidis and his collaborators work on algorithms that exploit data to enhance, or even circumvent, conventional modeling of chemical and biological systems, and help scientists better predict system behavior—from reaction rates to materials properties.

New MINDS for Big Data

Johns Hopkins has launched an interdisciplinary institute aimed at developing the mathematical theories that will hasten the analysis of the massive amounts of data being used to study everything from the inner workings of the human cell to the structure of the universe.

Genome Hunters

Thanks to dizzying advances in technology, scientists are poised to unlock the secrets of the genome in an ambitious effort to transform the diagnosis and treatment of disease.