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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


= '''Probability at UW-Madison''' =
[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)


<br>
Peter Ney (Columbia, 1961)


== Tenured and tenure-track faculty ==
== Postdocs ==


[http://www.math.wisc.edu/~anderson/ David Anderson:] (Duke, 2005) probability, mathematical/systems biology.
David Keating (UC Berkeley, 2021)


[http://www.math.wisc.edu/~griffeat/ David Griffeath:]
David Clancy (UWashington, 2022)


[http://www.math.wisc.edu/~seppalai/ Timo Seppalainen:]
Yuchen Liao (Michigan, 2021)


[http://www.math.wisc.edu/~valko/ Benedek Valko:]
== Graduate students ==


<br>
Max Bacharach


== Postdoctoral fellows ==
Yu Sun


[http://www.math.wisc.edu/~???/ Gregorio Moreno-Flores:]
Jiaming Xu


<br>
Shuqi Yu


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


Thursdays at 2:25pm, 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]]==
 
[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 Fall'''
 
Math/Stat 733 Theory of Probability I
 
Math 833 Topics in Probability: Modern Discrete Probability
 
Math/ECE/Stat 888 Topics in Mathematical Data Science
 
 
'''2024 Spring'''
 
Math/Stat 734 Theory of Probability II

Latest revision as of 22:40, 4 December 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

General email list

Email list for lunch/dinner with a speaker

Graduate student reading seminar

Email list

Tuesdays, 2:30pm, 901 Van Vleck

Probability group timetable

Undergraduate courses in probability

Graduate Courses in Probability

2023 Fall

Math/Stat 733 Theory of Probability I

Math 833 Topics in Probability: Modern Discrete Probability

Math/ECE/Stat 888 Topics in Mathematical Data Science


2024 Spring

Math/Stat 734 Theory of Probability II