Probability at UW-Madison
Tenured and tenure-track faculty
David Anderson (Duke, 2005) applied probability, numerical methods, mathematical biology.
Vadim Gorin (Moscow, 2011) integrable probability, random matrices, asymptotic representation theory
Hanbaek Lyu (Ohio, 2018) discrete probability, optimization, machine learning
Sebastien Roch (UC Berkeley, 2007) applied discrete probability, mathematical and computational biology, networks.
Timo Seppäläinen (Minnesota, 1991) motion in a random medium, random growth models, interacting particle systems, large deviation theory.
Tatyana Shcherbyna (Kharkiv, 2012) mathematical physics, random matrices
Hao Shen (Princeton, 2013) stochastic partial differential equations, mathematical physics, integrable probability
Benedek Valko (Budapest, 2004) interacting particle systems, random matrices.
David Griffeath (Cornell, 1976)
Jim Kuelbs (Minnesota, 1965)
Tom Kurtz (Stanford, 1967)
Peter Ney (Columbia, 1961)
Erik Bates (Stanford, 2019)
David Keating (UC Berkeley, 2021)
Thursdays at 2:30pm, VV901
Tuesdays, 2:30pm, 901 Van Vleck
Graduate Courses in Probability
Math/Stat 733 Theory of Probability I
Math/Stat 735 Stochastic Analysis
Math 833 Topics in Probability: Modern Discrete Probability
Math/Stat 734 Theory of Probability II
Math 833 Topics in Probability: Integrable probability