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/~vadicgor/ Vadim Gorin] (Moscow, 2011) integrable probability, random matrices, asymptotic representation theory
[https://hanbaeklyu.com/ Hanbaek Lyu] (Ohio State, 2018) discrete probability, dynamical systems, networks, optimization, machine learning


[http://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.


[http://www.math.wisc.edu/~seppalai/ Timo Seppäläinen] (Minnesota, 1991) motion in a random medium, random growth models, interacting particle systems, large deviation theory.
[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/??? Tatyana Shcherbyna] (Kharkiv, 2012) mathematical physics, random matrices
[https://math.wisc.edu/staff/shcherbyna-tatiana/ Tatyana Shcherbyna] (Kharkiv, 2012) mathematical physics, random matrices


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


[http://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.


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


Erik Bates (Stanford, 2019)
[https://www.ewbates.com/ Erik Bates] (Stanford, 2019)


David Keating (UC Berkeley, 2021)
David Keating (UC Berkeley, 2021)
David Clancy (UWashington, 2022)


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




Max Bacharach
Max Bacharach
Yun Li
[http://sites.google.com/a/wisc.edu/tung-nguyen/ Tung Nguyen]
[https://www.math.wisc.edu/~xshen/ Xiao Shen]


[https://sites.google.com/wisc.edu/evan-sorensen Evan Sorensen]
[https://sites.google.com/wisc.edu/evan-sorensen Evan Sorensen]
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'''2020 Fall'''
'''2022 Fall'''


Math/Stat 733 Theory of Probability I
Math/Stat 733 Theory of Probability I
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Math/Stat 735 Stochastic Analysis
Math/Stat 735 Stochastic Analysis


Math 833 Topics in Probability: Modern Discrete Probability
Math/ECE/Stat 888 Topics in Mathematical Data Science
 
Math 717 Stochastic Computational Methods
 






'''2021 Spring'''
'''2023 Spring'''


Math/Stat 734 Theory of Probability II  
Math/Stat 734 Theory of Probability II  


Math 833 Topics in Probability: Integrable probability
Math 833 Topics in Probability: Stochastic Partial Differential Equations
 
Math/ECE/Stat 888 Topics in Mathematical Data Science

Revision as of 19:29, 22 August 2022


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

Erik Bates (Stanford, 2019)

David Keating (UC Berkeley, 2021)

David Clancy (UWashington, 2022)

Graduate students

Max Bacharach

Evan Sorensen

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

2022 Fall

Math/Stat 733 Theory of Probability I

Math/Stat 735 Stochastic Analysis

Math/ECE/Stat 888 Topics in Mathematical Data Science

Math 717 Stochastic Computational Methods



2023 Spring

Math/Stat 734 Theory of Probability II

Math 833 Topics in Probability: Stochastic Partial Differential Equations

Math/ECE/Stat 888 Topics in Mathematical Data Science