# Probability: Difference between revisions

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= '''Probability at UW-Madison''' = | |||

<br> | |||

== Tenured and tenure-track faculty == | |||

[https://www.math.wisc.edu/~anderson/ David Anderson] (Duke, 2005) applied probability, numerical methods, mathematical biology. | |||

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

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

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

[https://math.wisc.edu/staff/shcherbyna-tatiana/ Tatyana Shcherbyna] (Kharkiv, 2012) mathematical physics, random matrices | |||

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

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

== Emeriti == | |||

[http://psoup.math.wisc.edu/kitchen.html David Griffeath] (Cornell, 1976) | |||

[http://www.math.wisc.edu/~kuelbs Jim Kuelbs] (Minnesota, 1965) | |||

[http://www.math.wisc.edu/~kurtz Tom Kurtz] (Stanford, 1967) | |||

Peter Ney (Columbia, 1961) | |||

== Postdocs == | |||

David Keating (UC Berkeley, 2021) | |||

David Clancy (UWashington, 2022) | |||

Yuchen Liao (Michigan, 2021) | |||

== Graduate students == | |||

Max Bacharach | |||

Yu Sun | |||

Jiaming Xu | |||

Shuqi Yu | |||

== [[Probability Seminar]] == | |||

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]]== | |||

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

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

== [[Probability group timetable]]== | |||

== [[Undergraduate courses in probability]]== | |||

== Graduate Courses in Probability == | |||

'''2023 Spring''' | |||

Math/Stat 733 Theory of Probability I | |||

Math 833 Topics in Probability: Modern Discrete Probability | |||

Math/ECE/Stat 888 Topics in Mathematical Data Science | |||

'''2023 Spring''' | |||

Math/Stat 734 Theory of Probability II |

## Latest revision as of 14:29, 11 September 2023

**Probability at UW-Madison**

## Tenured and tenure-track faculty

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

Hanbaek Lyu (Ohio State, 2018) discrete probability, dynamical systems, 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

David Keating (UC Berkeley, 2021)

David Clancy (UWashington, 2022)

Yuchen Liao (Michigan, 2021)

## Graduate students

Max Bacharach

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

**2023 Spring**

Math/Stat 733 Theory of Probability I

Math 833 Topics in Probability: Modern Discrete Probability

Math/ECE/Stat 888 Topics in Mathematical Data Science

**2023 Spring**

Math/Stat 734 Theory of Probability II