Probability: Difference between revisions

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[https://www.math.wisc.edu/~anderson/ David Anderson] (Duke, 2005) applied probability, numerical methods, mathematical biology.
[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://hanbaeklyu.com/ Hanbaek Lyu] (Ohio State, 2018) discrete probability, machine learning, optimization, networks


[https://www.math.wisc.edu/~roch/ Sebastien Roch] (UC Berkeley, 2007) applied discrete probability, mathematical and computational biology, networks.
[https://www.math.wisc.edu/~roch/ Sebastien Roch] (UC Berkeley, 2007) applied discrete probability, mathematical and computational biology, networks.
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[https://www.math.wisc.edu/~valko/ Benedek Valko] (Budapest, 2004) interacting particle systems, random matrices.
[https://www.math.wisc.edu/~valko/ Benedek Valko] (Budapest, 2004) interacting particle systems, random matrices.
[https://colegraham.net/ Cole Graham] (Stanford, 2021) branching particle systems, stochastic partial differential equations


== Emeriti ==
== Emeriti ==
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== Postdocs ==
== Postdocs ==


David Keating (UC Berkeley, 2021)
Hong Chang Ji (KAIST, 2021)


David Clancy (UWashington, 2022)
Ander Aguirre (UC Davis 2022)


Yuchen Liao (Michigan, 2021)
Hai-Xiao Wang (UC San Diego, 2025)


== Graduate students ==
== Graduate students ==


Max Bacharach
Jingyi Ma


Yu Sun
Yu Sun


Jiaming Xu
Shuqi Bi


Shuqi Yu
William Powell
 
Yuchen Li
 
Danny Duan
 
Yahui Qu
 
Sam McKeawn
 
Jiahong Yuan


== [[Probability Seminar]] ==
== [[Probability Seminar]] ==
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[https://groups.google.com/a/g-groups.wisc.edu/forum/#!forum/grad_prob_seminar Email list]  
[https://groups.google.com/a/g-groups.wisc.edu/forum/#!forum/grad_prob_seminar Email list]  
You can also sign up by sending an email to  XYZ+subscribe@g-groups.wisc.edu where XYZ is the name of the google group (see the link above).


Tuesdays, 2:30pm, 901 Van Vleck
Tuesdays, 2:30pm, 901 Van Vleck
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'''2023 Fall'''
'''2024 Fall'''


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


Math 833 Topics in Probability: Modern Discrete Probability
Math 735 Stochastic Analysis


Math/ECE/Stat 888 Topics in Mathematical Data Science


'''2025 Spring'''


'''2024 Spring'''
Math/Stat 734 Theory of Probability II


Math/Stat 734 Theory of Probability II
Math 833 Topics in Probability

Latest revision as of 12:26, 10 August 2025


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, machine learning, optimization, networks

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.

Cole Graham (Stanford, 2021) branching particle systems, stochastic partial differential equations

Emeriti

David Griffeath (Cornell, 1976)

Jim Kuelbs (Minnesota, 1965)

Tom Kurtz (Stanford, 1967)

Peter Ney (Columbia, 1961)

Postdocs

Hong Chang Ji (KAIST, 2021)

Ander Aguirre (UC Davis 2022)

Hai-Xiao Wang (UC San Diego, 2025)

Graduate students

Jingyi Ma

Yu Sun

Shuqi Bi

William Powell

Yuchen Li

Danny Duan

Yahui Qu

Sam McKeawn

Jiahong Yuan

Probability Seminar

Thursdays at 2:30pm, VV901

General email list

Email list for lunch/dinner with a speaker

Graduate student reading seminar

Email list

You can also sign up by sending an email to XYZ+subscribe@g-groups.wisc.edu where XYZ is the name of the google group (see the link above).

Tuesdays, 2:30pm, 901 Van Vleck

Probability group timetable

Undergraduate courses in probability

Graduate Courses in Probability

2024 Fall

Math/Stat 733 Theory of Probability I

Math 735 Stochastic Analysis


2025 Spring

Math/Stat 734 Theory of Probability II

Math 833 Topics in Probability