Probability, Ergodic Theory, Mathematical Physics

Seminars

Permanent Faculty

  • Mark Herman—Math physics, Schrodinger operators
  • Arjun Krishnan—First-passage percolation, KPZ universality, stochastic homogenization
  • Sevak Mkrtchyan—Asymptotic representation theory, asymptotic combinatorics, random tilings, determinantal point processes and random matrix theory
  • Carl Mueller—Stochastic partial differential equations
  • Juan Rivera-Letelier—Dynamical systems and ergodic theory, statistical properties and the thermodynamic formalism, equidistribution on manifolds

Emeritus Faculty

Graduate students

  • (Krishnan)
  • Tsung-Kai Lin (Mueller)

Past Graduate Students

Recent Graduate Courses

Spring 2025

Basic Graduate Course: Probability
Professor: Arjun Krishnan

Topics Course: TBA
Professor: Sevak Mkrtchyan

Fall 2024

Regular Graduate Course: Stochastic Processes
Professor: Carl Mueller

Spring 2024

Basic Graduate Course: Probability
Professor: Juan Rivera-Letelier

Topics Course: Random Matrices
Professor: Arjun Krishnan

Fall 2023

Regular Graduate Course: Stochastic Processes
Professor: Sevak Mkrtchyan

Spring 2023

Basic Graduate Course: Probability
Professor: Arjun Krishnan

Topics Course: The Gaussian Free Field
Professor: Carl Mueller

Spring 2022

Basic Graduate Course: Probability
Professor: Carl Mueller

Fall 2021

Regular Graduate Course: Stochastic Processes
Professor: Arjun Krishnan

Spring 2021

Basic Graduate Course: Probability
Professor: Sevak Mkrtchyan

 Fall 2020

Topics Course: First and Last-Passage Percolation
Professor: Arjun Krishnan

Fall 2020

Topics Course: Stochastic PDE
Professor: Carl Mueller

Fall 2019

Regular Graduate Course: Stochastic Processes
Professor: Carl Mueller

Spring 2019

Basic Graduate Course: Probability
Professor: Carl Mueller

Fall 2018

Topics Course
Professor: Arjun Krishnan

Spring 2018

Regular Graduate Course: Stochastic Processes
Professor: Arjun Krishnan

Fall 2017

Basic Graduate Course: Probability
Professor: Sevak Mkrtchyan

Spring 2017

Topics Course: Random Matrices
Professor: Sevak Mkrtchyan