Probability: Difference between revisions
mNo edit summary |
m (→Postdocs) |
||
Line 32: | Line 32: | ||
== Postdocs == | == Postdocs == | ||
David Keating (UC Berkeley, 2021) | David Keating (UC Berkeley, 2021) | ||
David Clancy (UWashington, 2022) | David Clancy (UWashington, 2022) | ||
Yuchen Liao (Michigan, 2021) | |||
== Graduate students == | == Graduate students == | ||
Max Bacharach | Max Bacharach | ||
Yu Sun | Yu Sun | ||
Line 75: | Line 71: | ||
''' | '''2023 Spring''' | ||
Math/Stat 733 Theory of Probability I | Math/Stat 733 Theory of Probability I | ||
Math | Math 833 Topics in Probability: Modern Discrete Probability | ||
Math/ECE/Stat 888 Topics in Mathematical Data Science | Math/ECE/Stat 888 Topics in Mathematical Data Science | ||
'''2023 Spring''' | '''2023 Spring''' | ||
Math/Stat 734 Theory of Probability II | Math/Stat 734 Theory of Probability II | ||
Revision as of 14:29, 11 September 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
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
2023 Spring
Math/Stat 733 Theory of Probability I
Math 833 Topics in Probability: Modern Discrete Probability
Math/ECE/Stat 888 Topics in Mathematical Data Science
2023 Spring
Math/Stat 734 Theory of Probability II