Probability: Difference between revisions

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[https://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.


[https://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  
 
[https://hanbaeklyu.com/ Hanbaek Lyu] (Ohio, 2018) discrete probability, dynamical systems, networks, optimization, machine learning  


[https://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.
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== Postdocs ==
== Postdocs ==


Erik Bates (Stanford, 2019)
David Keating (UC Berkeley, 2021)
 
David Clancy (UWashington, 2022)


David Keating (UC Berkeley, 2021)
Yuchen Liao (Michigan, 2021)


== 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]


Yu Sun
Yu Sun
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'''2020 Fall'''
'''2023 Fall'''


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


Math 833 Topics in Probability: Modern Discrete Probability
Math 833 Topics in Probability: Modern Discrete Probability


Math/ECE/Stat 888 Topics in Mathematical Data Science




'''2021 Spring'''
'''2024 Spring'''
 
Math/Stat 734 Theory of Probability II


Math 833 Topics in Probability: Integrable probability
Math/Stat 734 Theory of Probability II

Latest revision as of 22:40, 4 December 2023


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

David Keating (UC Berkeley, 2021)

David Clancy (UWashington, 2022)

Yuchen Liao (Michigan, 2021)

Graduate students

Max Bacharach

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

2023 Fall

Math/Stat 733 Theory of Probability I

Math 833 Topics in Probability: Modern Discrete Probability

Math/ECE/Stat 888 Topics in Mathematical Data Science


2024 Spring

Math/Stat 734 Theory of Probability II