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.
  
[http://www.math.wisc.edu/~roch/ Sebastien Roch] (UC Berkeley, 2007) applied probability, mathematical biology, theoretical computer science.
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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/~seppalai/ Timo Seppäläinen] (Minnesota, 1991) interacting particle systems, motion in a random medium, directed percolation, large deviation theory.
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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/~valko/ Benedek Valko] (Budapest, 2004) interacting particle systems, random matrices.
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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/~pmwood/ Philip Matchett Wood] (Rutgers, 2009) combinatorics, random matrices.
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[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.
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[https://www.math.wisc.edu/~hshen3/ Hao Shen] (Princeton, 2013) stochastic partial differential equations, mathematical physics, integrable probability
  
== Postdoctoral fellows ==
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[https://www.math.wisc.edu/~valko/ Benedek Valko] (Budapest, 2004) interacting particle systems, random matrices.
 
 
[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.
 
 
 
[http://www.math.wisc.edu/~cappelletti/ Daniele Cappelletti] (University of Copenhagen, 2015) stochastic mathematical models for biochemical reaction networks.
 
  
 
== Emeriti ==
 
== Emeriti ==
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Peter Ney (Columbia, 1961)
 
Peter Ney (Columbia, 1961)
  
Josh Chover (Michigan, 1952)
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== Postdocs ==
  
== Graduate students ==
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[https://www.ewbates.com/ Erik Bates] (Stanford, 2019)
  
[http://www.math.wisc.edu/~chaumont Hans Chaumont]
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David Keating (UC Berkeley, 2021)
  
[http://www.math.wisc.edu/~kehlert/ Kurt Ehlert]
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David Clancy (UWashington, 2022)
  
[https://sites.google.com/a/wisc.edu/chiara-franceschini/ Chiara Franceschini]
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== Graduate students ==
  
[http://www.math.wisc.edu/~kang Dae Han Kang]
 
  
[http://www.math.wisc.edu/~jskim Jinsu Kim]
 
  
Christian Noack
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Max Bacharach
 
Yu Sun, ysun@math.wisc.edu
 
  
Jason Wang
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[https://sites.google.com/wisc.edu/evan-sorensen Evan Sorensen]
  
Hao Kai Xi
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Yu Sun
  
Fan  Yang
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Jiaming Xu
  
Chaojie Yuan
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Shuqi Yu
  
 
== [[Probability Seminar]] ==
 
== [[Probability Seminar]] ==
  
Thursdays at 2:25pm, VV901
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Thursdays at 2:30pm, VV901
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 +
[https://groups.google.com/a/g-groups.wisc.edu/forum/#!forum/probsem General email list]
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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, 2:25pm
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Tuesdays, 2:30pm, 901 Van Vleck
  
 
== [[Probability group timetable]]==
 
== [[Probability group timetable]]==
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'''2016 Fall'''
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'''2022 Fall'''
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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
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Math/Stat 733 Theory of Probability I (formerly 831)
 
Math 735 Stochastic Analysis
 
  
  
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'''2023 Spring'''
  
'''2017 Spring'''
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Math/Stat 734 Theory of Probability II
  
Math/Stat 734 Theory of Probability II (formerly 832)
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Math 833 Topics in Probability: Stochastic Partial Differential Equations
  
Math 833 Topics in Probability: Stochastic Simulation and Monte Carlo methods.
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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