Probability: Difference between revisions

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


[http://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.


[http://www.math.wisc.edu/~roch/ Sebastien Roch] (UC Berkeley, 2007) applied probability, mathematical biology, theoretical computer science.
[https://hanbaeklyu.com/ Hanbaek Lyu] (Ohio State, 2018) discrete probability, machine learning, optimization, networks


[http://www.math.wisc.edu/~seppalai/ Timo Seppäläinen] (Minnesota, 1991) interacting particle systems, motion in a random medium, directed percolation, large deviation theory.
[https://www.math.wisc.edu/~roch/ Sebastien Roch] (UC Berkeley, 2007) applied discrete probability, mathematical and computational biology, networks.


[http://www.math.wisc.edu/~valko/ Benedek Valko] (Budapest, 2004) interacting particle systems, random matrices.
[https://www.math.wisc.edu/~seppalai/ Timo Seppäläinen] (Minnesota, 1991) motion in a random medium, random growth models, interacting particle systems, large deviation theory.


[http://www.math.wisc.edu/~pmwood/ Philip Matchett Wood] (Rutgers, 2009) combinatorics, random matrices.
[https://math.wisc.edu/staff/shcherbyna-tatiana/ Tatyana Shcherbyna] (Kharkiv, 2012) mathematical physics, random matrices


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


[http://www.math.wisc.edu/~louisfan/ Wai-Tong (Louis) Fan] (University of Washington-Seattle, 2014) interacting particle systems, complex adaptive systems arising in natural sciences.
[https://www.math.wisc.edu/~valko/ Benedek Valko] (Budapest, 2004) interacting particle systems, random matrices.


[http://www.math.wisc.edu/~cappelletti/ Daniele Cappelletti] (University of Copenhagen, 2015) stochastic mathematical models for biochemical reaction networks.
[https://colegraham.net/ Cole Graham] (Stanford, 2021) branching particle systems, stochastic partial differential equations


== Emeriti ==
== Emeriti ==
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Peter Ney (Columbia, 1961)
Peter Ney (Columbia, 1961)


Josh Chover (Michigan, 1952)
== Postdocs ==
 
Hong Chang Ji (KAIST, 2021)
 
Ander Aguirre (UC Davis 2022)
 
Hai-Xiao Wang (UC San Diego, 2025)


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


[http://www.math.wisc.edu/~chaumont Hans Chaumont]
Jingyi Ma
 
Yu Sun


[http://www.math.wisc.edu/~kehlert/ Kurt Ehlert]
Shuqi Bi


[https://sites.google.com/a/wisc.edu/chiara-franceschini/ Chiara Franceschini]
William Powell


[http://www.math.wisc.edu/~kang Dae Han Kang]
Yuchen Li


[http://www.math.wisc.edu/~jskim Jinsu Kim]
Danny Duan


[http://www.math.wisc.edu/~cnoack Christian Noack]
Yahui Qu


Chaojie Yuan
Sam McKeawn


Yun Li
Jiahong Yuan


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


Email list: join-grad_prob_seminar@lists.wisc.edu
[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, 214 Ingraham Hall
Tuesdays, 2:30pm, 901 Van Vleck


== [[Probability group timetable]]==
== [[Probability group timetable]]==
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'''2017 Fall'''
'''2025 Fall'''
 
[https://www.math.wisc.edu/~seppalai/courses/733/733home.html Math/Stat 733 Theory of Probability I (formerly 831)]


[http://www.math.wisc.edu/~roch/mdp/index.html Math 833 Topics in Probability: Modern Discrete Probabilty]
Math/Stat 733 Theory of Probability I




'''2026 Spring'''


'''2017 Spring'''
Math/Stat 734 Theory of Probability II


Math/Stat 734 Theory of Probability II (formerly 832)
Math 833 Topics in Probability

Latest revision as of 13:31, 2 September 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

2025 Fall

Math/Stat 733 Theory of Probability I


2026 Spring

Math/Stat 734 Theory of Probability II

Math 833 Topics in Probability