Probability: Difference between revisions

From UW-Math Wiki
Jump to navigation Jump to search
mNo edit summary
 
(111 intermediate revisions by 19 users not shown)
Line 7: Line 7:
== 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, random walks in random environments, 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


[http://www.math.wisc.edu/~jyin/ Jun Yin] (Princeton, 2008) random matrices
[https://www.math.wisc.edu/~hshen3/ Hao Shen] (Princeton, 2013) stochastic partial differential equations, mathematical physics, integrable probability


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


[http://www.math.wisc.edu/~gshinault Gregory Shinault] (UC Davis, 2012) interacting particle systems, random growth models.
[https://colegraham.net/ Cole Graham] (Stanford, 2021) branching particle systems, stochastic partial differential equations


== Emeriti ==
== Emeriti ==
Line 32: Line 32:


Peter Ney (Columbia, 1961)
Peter Ney (Columbia, 1961)
== 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/~emrah/ Elnur Emrah]
Jingyi Ma


[http://www.math.wisc.edu/~holcomb/ Diane Holcomb]
Yu Sun


[http://www.math.wisc.edu/~janjigia Chris Janjigian]
Shuqi Bi


[http://www.math.wisc.edu/~koyama Masanori Koyama]
William Powell


[http://www.math.wisc.edu/~skubak Beth Skubak Wolf]
Yuchen Li


[http://www.math.wisc.edu/~??? Yun Zhai]
Danny Duan


[http://www.math.wisc.edu/~kang Dae Han Kang]
Yahui Qu


Jason Wang
Sam McKeawn
 
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]]==
 
[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


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


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


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


'''2013 Fall'''


[http://www.math.wisc.edu/~  Math/Stat 733 Theory of Probability I (formerly 831)]


'''2025 Fall'''


'''2013 Spring'''
Math/Stat 733 Theory of Probability I


[http://www.math.wisc.edu/~seppalai/courses/833/2013833home.html  Math/Stat 833 Topics in Probability Spring 2013: Large Deviations and Gibbs Measures]


[http://www.math.wisc.edu/~anderson/832S13/832S13.html Math 832 - Theory of Probability II]
'''2026 Spring'''


Math/Stat 734 Theory of Probability II


==[[Graduate student reading seminar]]==
Math 833 Topics in Probability
 
Tuesdays, 2:25pm

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