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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Peter Ney (Columbia, 1961) | Peter Ney (Columbia, 1961) | ||
== Postdocs == | == Postdocs == | ||
David Clancy (UWashington, 2022) | |||
Yuchen Liao (Michigan, 2021) | |||
Hong Chang Ji (KAIST, 2021) | |||
== Graduate students == | == Graduate students == | ||
Max Bacharach | |||
Yu Sun | |||
Shuqi Yu | |||
William Powell | |||
Yahui Qu | |||
[ | == [[Probability Seminar]] == | ||
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] | |||
You can also sign up by sending an email to XYZ+subscribe@g-groups.wisc.edu where XYZ is the name of the google group (see the link above). | |||
Tuesdays, 2:30pm, 901 Van Vleck | Tuesdays, 2:30pm, 901 Van Vleck | ||
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''' | '''2024 Fall''' | ||
Math/Stat 733 Theory of Probability I | Math/Stat 733 Theory of Probability I | ||
Math 735 Stochastic Analysis | |||
'''2025 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 | ||
Latest revision as of 17:08, 14 January 2025
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 Clancy (UWashington, 2022)
Yuchen Liao (Michigan, 2021)
Hong Chang Ji (KAIST, 2021)
Graduate students
Max Bacharach
Yu Sun
Shuqi Yu
William Powell
Yahui Qu
Probability Seminar
Thursdays at 2:30pm, VV901
Email list for lunch/dinner with a speaker
Graduate student reading seminar
You can also sign up by sending an email to XYZ+subscribe@g-groups.wisc.edu where XYZ is the name of the google group (see the link above).
Tuesdays, 2:30pm, 901 Van Vleck
Probability group timetable
Undergraduate courses in probability
Graduate Courses in Probability
2024 Fall
Math/Stat 733 Theory of Probability I
Math 735 Stochastic Analysis
2025 Spring
Math/Stat 734 Theory of Probability II
Math 833 Topics in Probability