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://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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[http://www.math.wisc.edu/~kurtz Tom Kurtz] (Stanford, 1967) | [http://www.math.wisc.edu/~kurtz Tom Kurtz] (Stanford, 1967) | ||
Peter Ney (Columbia, 1961) | |||
== Postdocs == | |||
[https://www.ewbates.com/ Erik Bates] (Stanford, 2019) | |||
David Keating (UC Berkeley, 2021) | |||
David Clancy (UWashington, 2022) | |||
== Graduate students == | == Graduate students == | ||
[ | Max Bacharach | ||
[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]]== | |||
[https://groups.google.com/a/g-groups.wisc.edu/forum/#!forum/grad_prob_seminar Email list] | |||
Tuesdays, 2:30pm, 901 Van Vleck | |||
== [[Probability group timetable]]== | == [[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 | |||
Revision as of 19:29, 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
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
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