# Probability: Difference between revisions

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[http://www.math.wisc.edu/~seppalai/ Timo Seppäläinen] (Minnesota, 1991) motion in a random medium, random growth models, interacting particle systems, large deviation theory. | [http://www.math.wisc.edu/~seppalai/ Timo Seppäläinen] (Minnesota, 1991) motion in a random medium, random growth models, interacting particle systems, large deviation theory. | ||

Hao Shen (Princeton, 2013) stochastic partial differential equations, integrable probability | [http://www.math.wisc.edu/~hshen3/ Hao Shen] (Princeton, 2013) stochastic partial differential equations, mathematical physics, integrable probability | ||

[http://www.math.wisc.edu/~valko/ Benedek Valko] (Budapest, 2004) interacting particle systems, random matrices. | [http://www.math.wisc.edu/~valko/ Benedek Valko] (Budapest, 2004) interacting particle systems, random matrices. |

## Revision as of 19:16, 2 October 2018

**Probability at UW-Madison**

## Tenured and tenure-track faculty

David Anderson (Duke, 2005) applied probability, numerical methods, mathematical biology.

Sebastien Roch (UC Berkeley, 2007) applied probability, mathematical biology, theoretical computer science.

Timo Seppäläinen (Minnesota, 1991) motion in a random medium, random growth models, interacting particle systems, large deviation theory.

Hao Shen (Princeton, 2013) stochastic partial differential equations, mathematical physics, integrable probability

Benedek Valko (Budapest, 2004) interacting particle systems, random matrices.

Philip Matchett Wood (Rutgers, 2009) combinatorics, random matrices.

## Emeriti

David Griffeath (Cornell, 1976)

Jim Kuelbs (Minnesota, 1965)

Tom Kurtz (Stanford, 1967)

Peter Ney (Columbia, 1961)

Josh Chover (Michigan, 1952)

## Graduate students

Yun Li

## Probability Seminar

Thursdays at 2:25pm, VV901

## Graduate student reading seminar

Email list: join-grad_prob_seminar@lists.wisc.edu

Tuesdays, 2:30pm, 901 Van Vleck

## Probability group timetable

## Undergraduate courses in probability

## Graduate Courses in Probability

**2018 Fall**

Math/Stat 733 Theory of Probability I

Math 735 Stochastic Analysis

**2017 Spring**

Math/Stat 734 Theory of Probability II

Math 833 Topics in Probability: Random Matrix Theory