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://hanbaeklyu.com/ Hanbaek Lyu] (Ohio State, 2018) discrete probability, dynamical systems, networks, optimization, machine learning | [https://hanbaeklyu.com/ Hanbaek Lyu] (Ohio State, 2018) discrete probability, dynamical systems, networks, optimization, machine learning | ||
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David Keating (UC Berkeley, 2021) | David Keating (UC Berkeley, 2021) | ||
David Clancy (UWashington, 2022) | |||
== Graduate students == | == Graduate students == | ||
Max Bacharach | Max Bacharach | ||
[https://sites.google.com/wisc.edu/evan-sorensen Evan Sorensen] | [https://sites.google.com/wisc.edu/evan-sorensen Evan Sorensen] | ||
Revision as of 19:26, 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
Yu Sun
Jiaming Xu
Shuqi Yu
Probability Seminar
Thursdays at 2:30pm, VV901
Email list for lunch/dinner with a speaker
Graduate student reading seminar
Tuesdays, 2:30pm, 901 Van Vleck
Probability group timetable
Undergraduate courses in probability
Graduate Courses in Probability
2020 Fall
Math/Stat 733 Theory of Probability I
Math/Stat 735 Stochastic Analysis
Math 833 Topics in Probability: Modern Discrete Probability
2021 Spring
Math/Stat 734 Theory of Probability II
Math 833 Topics in Probability: Integrable probability