Abstract
Typical large matrices show remarkable patterns
in their eigenvalue distribution. These
same distributions appear in a variety of other
real world problems: in the distance between
parked cars, the shape of a burning piece of
paper, in neutron scattering experiments and the
zeros of Riemann's zeta function. I will explain
the patterns and tell some of their stories in a
talk aimed at a general mathematical and statistical
audience.