The ExoSLAM summer school will be held at Campus MIL at Université de Montréal on the Thursday, Friday, and Saturday morning (3-5 July) prior to Exoclimes VII. The summer school is aimed at students working towards their Master's or PhD in exoplanet science, as well as postdocs who are new to the field. Through a series of lectures and hands-on tutorials, ExoSLAM will offer participants a crash course in state-of-the-art methods to reduce, analyze, and interpret observations from space-based and ground-based telescopes. Furthermore, there will be lectures focusing on statistical methods as well as machine learning applications in astrophysics. A breakdown of the program can be found below:

• Pierre-Alexis Roy, Louis-Philippe Coulombe, & Jared Splinter: Transmission and emission spectroscopy, eclipse mapping, phase curves and reflected light
• Clémence Fontanive, Romain Allart, & Érika Le Bourdais: Direct imaging, single-line observations and atmospheric escape, and polluted white dwarfs
• Thomas Vandal: Algorithms and statistical methods for exoplanet studies
• Michael Radica & Taylor Bell: JWST data reduction
• Érika Le Bourdais & Joost Wardenier: Radiative transfer in a nutshell
• Caroline Piaulet-Ghorayeb & Luis Welbanks: An introduction to atmospheric retrievals
• Stevanus Nugroho & Stephan Pelletier: High-resolution spectroscopy
• Georgia Mraz, Olivia Pereira, Mathis Bouffard, Romain Allart, and Joost Wardenier: High-resolution retrievals with the Starships analysis framework
• Panel discussion with Lisa Dang, Taylor Bell, Chloe Fisher, and Stevanus Nugroho: Navigating life as an early-career scientist, moderated by Frédérique Baron
• Salma Salhi, Vanesa Ramirez, Chloe Fisher, and Francisco Ardévol Martínez: Introduction to machine learning and applications to exoplanet research