Home /  2027 PIMS-CRM Summer School in Probability

Summer Graduate School

2027 PIMS-CRM Summer School in Probability July 19, 2027 - August 06, 2027
Parent Program: --
Location: Centre de recherches mathématiques, Montréal
Organizers Louigi Addario-Berry (McGill University), Omer Angel (University of British Columbia), Benjamin Landon (University of Toronto), Mathav Murugan (University of British Columbia)
Description

The PIMS–CRM Summer Schools in Probability are a highlight of Canadian probability. Launched by PIMS in 2004, they take the form of two main courses by top researchers in probability theory and related fields, along with a number of keynote addresses and shorter mini-courses. The school is geared primarily at doctoral students and postdoctoral scholars, who are also given the opportunity to present their own research, should they desire. The schools have played a major role in the development of an exceptionally strong community of young probabilists in Canada, North America and overseas. This will be the 14th time this school has run. 

The 2027 main courses (24 hours each) are:

Roland Bauerschmidt (Courant): Probabilistic methods in quantum field theory

Nina Gantert (T.U.Munich): Branching random walks and related topics

School Structure

There will be two long courses, three minicourses, and time reserved for short presentations by participants.  The participant presentations are an important component of the school. They promote interaction among participants and provide a panorama of current research in probability. For many participants, it will be their first time presenting their work to and fielding questions from a large audience; as such it is a valuable training experience. No talks are scheduled for Wednesdays. Instead, excursions are arranged by the organisers.

Prerequisites

The schools are primarily aimed at graduate students and postdocs doing research in probability theory. A formal introduction to probability based on measure theory would be needed.

Prerequisites for Prof. Bauerschmidt course: a first graduate level course on probability theory, covering roughly Durrett’s textbook 'Probability: Theory and Examples' or Varadhan's textbook 'Probability Theory'.

Prerequisites for Prof. Gantert course:

Application Procedure

SLMath is only able to support a limited number of students to attend this school.  Therefore, it is likely that only one student per institution will be funded by SLMath.

For eligibility and how to apply, see the Summer Graduate Schools homepage.

Venue

The summer school will take place at Centre de recherches mathématiques (CRM), Montréal, Canada. The housing of the participants in shared, apartment-style accommodation (6-bedroom) gives students multiple shared common areas, making it easy for participants to coordinate their own group-work and study sessions.

Keywords and Mathematics Subject Classification (MSC)
Tags/Keywords
  • phase transitions

  • quantum field theory

  • free field

  • branching random walk

  • branching random walk in random environment

  • Interacting Particle Systems

  • Φ4 model

Primary Mathematics Subject Classification
Secondary Mathematics Subject Classification No Secondary AMS MSC
Funding & Logistics Show All Collapse

Show Reimbursement Guidelines