Difference between revisions of "Probability"

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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.
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[https://www.math.wisc.edu/~anderson/ David Anderson] (Duke, 2005) applied probability, numerical methods, mathematical biology.
  
Vadim Gorin (Moscow, 2011) integrable probability, random matrices, asymptotic representation theory
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[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 probability, mathematical biology, theoretical computer science.
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[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.
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[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/~hshen3/ Hao Shen] (Princeton, 2013) stochastic partial differential equations, mathematical physics, integrable probability
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[https://math.wisc.edu/staff/shcherbyna-tatiana/ Tatyana Shcherbyna] (Kharkiv, 2012) mathematical physics, random matrices
 
 
[http://www.math.wisc.edu/~valko/ Benedek Valko] (Budapest, 2004) interacting particle systems, random matrices.
 
  
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[https://www.math.wisc.edu/~hshen3/ Hao Shen] (Princeton, 2013) stochastic partial differential equations, mathematical physics, integrable probability
  
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[https://www.math.wisc.edu/~valko/ Benedek Valko] (Budapest, 2004) interacting particle systems, random matrices.
  
 
== Emeriti ==
 
== Emeriti ==
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Peter Ney (Columbia, 1961)
 
Peter Ney (Columbia, 1961)
 
Josh Chover (Michigan, 1952)
 
 
  
 
== Postdocs ==
 
== Postdocs ==
  
Scott Smith (Maryland, 2016)
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[https://www.ewbates.com/ Erik Bates] (Stanford, 2019)
  
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David Keating (UC Berkeley, 2021)
  
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David Clancy (UWashington, 2022)
  
 
== Graduate students ==
 
== Graduate students ==
  
  
[http://www.math.wisc.edu/~kehlert/ Kurt Ehlert]
 
  
[http://www.math.wisc.edu/~kang Dae Han Kang]
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Max Bacharach
  
[https://sites.google.com/a/wisc.edu/brandon-legried/ Brandon Legried]
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[https://sites.google.com/wisc.edu/evan-sorensen Evan Sorensen]
  
Yun Li
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Yu Sun
  
[http://sites.google.com/a/wisc.edu/tung-nguyen/ Tung Nguyen]
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Jiaming Xu
  
[http://www.math.wisc.edu/~cyuan25/ Chaojie Yuan]
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Shuqi Yu
  
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== [[Probability Seminar]] ==
  
 +
Thursdays at 2:30pm, VV901
  
== [[Probability Seminar]] ==
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[https://groups.google.com/a/g-groups.wisc.edu/forum/#!forum/probsem General email list]
  
Thursdays at 2:30pm, VV901
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[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
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[https://groups.google.com/a/g-groups.wisc.edu/forum/#!forum/grad_prob_seminar Email list]
  
 
Tuesdays, 2:30pm, 901 Van Vleck
 
Tuesdays, 2:30pm, 901 Van Vleck
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'''2019 Fall'''
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'''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
  
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Math/ECE/Stat 888 Topics in Mathematical Data Science
  
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Math 717 Stochastic Computational Methods
  
'''2020 Spring'''
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 +
 
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'''2023 Spring'''
  
 
Math/Stat 734 Theory of Probability II  
 
Math/Stat 734 Theory of Probability II  
  
Math 833 Topics in Probability
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Math 833 Topics in Probability: Stochastic Partial Differential Equations
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Math/ECE/Stat 888 Topics in Mathematical Data Science

Latest revision as of 13:29, 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