# Probability: Difference between revisions

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[http://www.math.wisc.edu/~vadicgor/ Vadim Gorin] (Moscow, 2011) integrable probability, random matrices, asymptotic representation theory | [http://www.math.wisc.edu/~vadicgor/ Vadim Gorin] (Moscow, 2011) integrable probability, random matrices, asymptotic representation theory | ||

[https://hanbaeklyu.com/ Hanbaek Lyu] (Ohio, 2018) discrete probability, optimization, machine learning | [https://hanbaeklyu.com/ Hanbaek Lyu] (Ohio, 2018) discrete probability, networks, optimization, machine learning | ||

[http://www.math.wisc.edu/~roch/ Sebastien Roch] (UC Berkeley, 2007) applied discrete probability, mathematical and computational biology, networks. | [http://www.math.wisc.edu/~roch/ Sebastien Roch] (UC Berkeley, 2007) applied discrete probability, mathematical and computational biology, networks. |

## Revision as of 03:13, 11 September 2021

**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, networks, 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.

## Emeriti

David Griffeath (Cornell, 1976)

Jim Kuelbs (Minnesota, 1965)

Tom Kurtz (Stanford, 1967)

Peter Ney (Columbia, 1961)

## Postdocs

Erik Bates (Stanford, 2019)

David Keating (UC Berkeley, 2021)

## Graduate students

Max Bacharach

Yun Li

Yu Sun

Jiaming Xu

Shuqi Yu

## 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: Integrable probability