# Difference between revisions of "Probability"

(→Graduate Courses in Probability) |
|||

Line 60: | Line 60: | ||

Thursdays at 2:30pm, VV901 | Thursdays at 2:30pm, VV901 | ||

+ | |||

+ | [https://groups.google.com/a/g-groups.wisc.edu/forum/#!forum/probsem General email list] | ||

+ | |||

+ | [https://groups.google.com/a/g-groups.wisc.edu/forum/#!forum/lunchwithprobsemspeaker Email list for lunch/dinner with a speaker] | ||

==[[Graduate student reading seminar]]== | ==[[Graduate student reading seminar]]== | ||

− | + | [https://groups.google.com/a/g-groups.wisc.edu/forum/#!forum/grad_prob_seminar Email list] | |

Tuesdays, 2:30pm, 901 Van Vleck | Tuesdays, 2:30pm, 901 Van Vleck |

## Revision as of 14:34, 1 September 2020

**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

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.

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.

## Emeriti

David Griffeath (Cornell, 1976)

Jim Kuelbs (Minnesota, 1965)

Tom Kurtz (Stanford, 1967)

Peter Ney (Columbia, 1961)

Josh Chover (Michigan, 1952)

## Postdocs

Erik Bates (Stanford, 2019)

Scott Smith (Maryland, 2016)

## Graduate students

Yun Li

## Probability Seminar

Thursdays at 2:30pm, VV901

Email list for lunch/dinner with a speaker

## Graduate student reading seminar

Tuesdays, 2:30pm, 901 Van Vleck

## Probability group timetable

## Undergraduate courses in probability

## Graduate Courses in Probability

**2020 Fall**

Math/Stat 733 Theory of Probability I

Math/Stat 735 Stochastic Analysis

Math 833 Topics in Probability: Modern Discrete Probability

**2021 Spring**

Math/Stat 734 Theory of Probability II

Math 833 Topics in Probability