Probability: Difference between revisions
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== Tenured and tenure-track faculty == | == Tenured and tenure-track faculty == | ||
[ | [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://www.math.wisc.edu/~roch/ Sebastien Roch] (UC Berkeley, 2007) applied discrete probability, mathematical and computational biology, networks. | ||
[ | [https://www.math.wisc.edu/~seppalai/ Timo Seppäläinen] (Minnesota, 1991) motion in a random medium, random growth models, interacting particle systems, large deviation theory. | ||
[ | [https://math.wisc.edu/staff/shcherbyna-tatiana/ Tatyana Shcherbyna] (Kharkiv, 2012) mathematical physics, random matrices | ||
[https://www.math.wisc.edu/~hshen3/ Hao Shen] (Princeton, 2013) stochastic partial differential equations, mathematical physics, integrable probability | |||
[ | [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) | ||
== Postdocs == | |||
[https://www.ewbates.com/ Erik Bates] (Stanford, 2019) | |||
David Keating (UC Berkeley, 2021) | |||
== Graduate students == | == Graduate students == | ||
Max Bacharach | |||
Yun Li | |||
[http:// | [http://sites.google.com/a/wisc.edu/tung-nguyen/ Tung Nguyen] | ||
[ | [https://sites.google.com/wisc.edu/evan-sorensen Evan Sorensen] | ||
Yu Sun | |||
Jiaming Xu | |||
Shuqi Yu | |||
== [[Probability Seminar]] == | == [[Probability Seminar]] == | ||
Thursdays at 2: | Thursdays at 2:30pm, VV901 | ||
[https://groups.google.com/a/g-groups.wisc.edu/forum/#!forum/probsem General email list] | |||
[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]]== | ||
[https://groups.google.com/a/g-groups.wisc.edu/forum/#!forum/grad_prob_seminar Email list] | |||
Tuesdays, 2: | Tuesdays, 2:30pm, 901 Van Vleck | ||
== [[Probability group timetable]]== | == [[Probability group timetable]]== | ||
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''' | '''2020 Fall''' | ||
Math/Stat 733 Theory of Probability I | |||
Math/Stat 735 Stochastic Analysis | |||
Math | Math 833 Topics in Probability: Modern Discrete Probability | ||
''' | '''2021 Spring''' | ||
Math/Stat 734 Theory of Probability II | Math/Stat 734 Theory of Probability II | ||
Math 833 Topics in Probability: | Math 833 Topics in Probability: Integrable probability | ||
Revision as of 16:51, 8 March 2022
Probability at UW-Madison
Tenured and tenure-track faculty
David Anderson (Duke, 2005) applied probability, numerical methods, mathematical biology.
Vadim Gorin (Moscow, 2011) integrable probability, random matrices, asymptotic representation theory
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)
Graduate students
Max Bacharach
Yun Li
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