Beyond the Gaussian universality class - Prof Ivan Corwin (Columbia University - USA)

The Gaussian distribution describes fluctuations arising in many systems across mathematics, science and society. However, complex random systems such as those related to interface growth, big data, stochastic optimization, traffic / queuing flow, and stochastic PDEs often do not follow fall into this universality class. This talk will explain how these and other important types of real world systems fall into a different universality class -- the so called Kardar-Parisi-Zhang class. This talk will be aimed at a very general audience and will feature almost no equations and lots interesting phenomena, videos and examples.