APR Seminar: Ivan Corwin (Columbia University)

March 23, 2017 | 1:10pm - 2:10pm

APR Seminar: Ivan Corwin (Columbia University)

Mudd Hall 303
 
TITLE: Beyond the Gaussian Universality Class
 
ABSTRACT: The Gaussian distribution describes many basic systems arising across mathematics, science and society. However, many complex random systems related to interface growth, big data, stochastic optimization, traffic / queuing flow, and stochastic PDEs do not follow fall into this universality class. The 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 of videos and examples.
 
BIO: Ivan Corwin is a professor of mathematics here at Columbia University. He received his Ph.D. in 2011 at the Courant Institute at NYU. His work has generally focused on probabilistic questions related to statistical / mathematical physics, on one hand, and integrable systems / representation theory / combinatorics on the other hand. He is particularly known for his work related to the Kardar-Parisi-Zhang universality class and stochastic PDE. Recently, he has become very active in developing the Columbia Initiative for Probability and Society.


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