# Difference between revisions of "Probability"

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[http://www.math.wisc.edu/~louisfan/ Wai-Tong (Louis) Fan] (University of Washington-Seattle, 2014) interacting particle systems, complex adaptive systems arising in natural sciences. | [http://www.math.wisc.edu/~louisfan/ Wai-Tong (Louis) Fan] (University of Washington-Seattle, 2014) interacting particle systems, complex adaptive systems arising in natural sciences. | ||

+ | |||

+ | [http://www.math.wisc.edu/~cappelletti/ Daniele Cappelletti] (University of Copenhagen, 2015) stochastic mathematical models for biochemical reaction networks. | ||

== Emeriti == | == Emeriti == |

## Revision as of 09:00, 3 April 2017

**Probability at UW-Madison**

## Tenured and tenure-track faculty

David Anderson (Duke, 2005) applied probability, numerical methods, mathematical biology.

Sebastien Roch (UC Berkeley, 2007) applied probability, mathematical biology, theoretical computer science.

Timo Seppäläinen (Minnesota, 1991) interacting particle systems, motion in a random medium, directed percolation, large deviation theory.

Benedek Valko (Budapest, 2004) interacting particle systems, random matrices.

Philip Matchett Wood (Rutgers, 2009) combinatorics, random matrices.

Jun Yin (Princeton, 2008) random matrices.

## Postdoctoral fellows

Wai-Tong (Louis) Fan (University of Washington-Seattle, 2014) interacting particle systems, complex adaptive systems arising in natural sciences.

Daniele Cappelletti (University of Copenhagen, 2015) stochastic mathematical models for biochemical reaction networks.

## Emeriti

David Griffeath (Cornell, 1976)

Jim Kuelbs (Minnesota, 1965)

Tom Kurtz (Stanford, 1967)

Peter Ney (Columbia, 1961)

Josh Chover (Michigan, 1952)

## Graduate students

Christian Noack

Yu Sun, ysun@math.wisc.edu

Jason Wang

Hao Kai Xi

Fan Yang

Chaojie Yuan

## Probability Seminar

Thursdays at 2:25pm, VV901

## Graduate student reading seminar

Email list: join-grad_prob_seminar@lists.wisc.edu

Tuesdays, 2:25pm

## Probability group timetable

## Undergraduate courses in probability

## Graduate Courses in Probability

**2016 Fall**

Math/Stat 733 Theory of Probability I (formerly 831) Math 735 Stochastic Analysis

**2017 Spring**

Math/Stat 734 Theory of Probability II (formerly 832)

Math 833 Topics in Probability: Stochastic Simulation and Monte Carlo methods.