Difference between revisions of "Probability"

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[http://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/~seppalai/ Timo Seppäläinen] (Minnesota, 1991) motion in a random medium, random growth models, interacting particle systems, large deviation theory.
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Hao Shen (Princeton, 2013) stochastic partial differential equations, integrable probability
  
 
[http://www.math.wisc.edu/~valko/ Benedek Valko] (Budapest, 2004) interacting particle systems, random matrices.
 
[http://www.math.wisc.edu/~valko/ Benedek Valko] (Budapest, 2004) interacting particle systems, random matrices.
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[http://www.math.wisc.edu/~pmwood/ Philip Matchett Wood] (Rutgers, 2009) combinatorics, random matrices.
 
[http://www.math.wisc.edu/~pmwood/ Philip Matchett Wood] (Rutgers, 2009) combinatorics, random matrices.
  
== Postdoctoral fellows ==
 
 
[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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== Graduate students ==
 
== Graduate students ==
  
[http://www.math.wisc.edu/~chaumont Hans Chaumont]
 
  
 
[http://www.math.wisc.edu/~kehlert/ Kurt Ehlert]  
 
[http://www.math.wisc.edu/~kehlert/ Kurt Ehlert]  
 
[https://sites.google.com/a/wisc.edu/chiara-franceschini/ Chiara Franceschini]
 
  
 
[http://www.math.wisc.edu/~kang Dae Han Kang]
 
[http://www.math.wisc.edu/~kang Dae Han Kang]
 
[http://www.math.wisc.edu/~jskim Jinsu Kim]
 
 
[http://www.math.wisc.edu/~cnoack Christian Noack]
 
  
 
Chaojie Yuan
 
Chaojie Yuan
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Email list: join-grad_prob_seminar@lists.wisc.edu
 
Email list: join-grad_prob_seminar@lists.wisc.edu
  
Tuesdays, 2:30pm, B135 Van Vleck
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Tuesdays, 2:30pm, 901 Van Vleck
  
 
== [[Probability group timetable]]==
 
== [[Probability group timetable]]==
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'''2017 Fall'''
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'''2018 Fall'''
  
[https://www.math.wisc.edu/~seppalai/courses/733/733home.html Math/Stat 733 Theory of Probability I (formerly 831)]
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[https://www.math.wisc.edu/~anderson/733F18/733.htmll 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]
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Math 735: Stochastic Analysis
  
  
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'''2017 Spring'''
 
'''2017 Spring'''
  
Math/Stat 734 Theory of Probability II (formerly 832)
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Math/Stat 734 Theory of Probability II  
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 +
Math 833 Topics in Probability: Random Matrix Theory

Revision as of 08:13, 4 September 2018


Probability at UW-Madison


Tenured and tenure-track faculty

David Anderson (Duke, 2005) applied probability, numerical methods, mathematical biology.

Sebastien Roch (UC Berkeley, 2007) applied probability, mathematical biology, theoretical computer science.

Timo Seppäläinen (Minnesota, 1991) motion in a random medium, random growth models, interacting particle systems, large deviation theory.

Hao Shen (Princeton, 2013) stochastic partial differential equations, integrable probability

Benedek Valko (Budapest, 2004) interacting particle systems, random matrices.

Philip Matchett Wood (Rutgers, 2009) combinatorics, random matrices.


Emeriti

David Griffeath (Cornell, 1976)

Jim Kuelbs (Minnesota, 1965)

Tom Kurtz (Stanford, 1967)

Peter Ney (Columbia, 1961)

Josh Chover (Michigan, 1952)

Graduate students

Kurt Ehlert

Dae Han Kang

Chaojie Yuan

Yun Li

Probability Seminar

Thursdays at 2:25pm, VV901

Graduate student reading seminar

Email list: join-grad_prob_seminar@lists.wisc.edu

Tuesdays, 2:30pm, 901 Van Vleck

Probability group timetable

Undergraduate courses in probability

Graduate Courses in Probability

2018 Fall

Math/Stat 733 Theory of Probability I (formerly 831)

Math 735: Stochastic Analysis


2017 Spring

Math/Stat 734 Theory of Probability II

Math 833 Topics in Probability: Random Matrix Theory