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The 2026 Tri-Institute Summer School on Elementary Particles (TRISEP) will be held July 13-24 at Perimeter Institute. 

TRISEP is an international summer school organized jointly by Perimeter Institute, SNOLAB, and TRIUMF, Canada's laboratory for particle and nuclear physics. TRISEP will feature lectures by leading experts in the fields of particle physics and particle astrophysics (broadly defined) and is designed to be very interactive with ample time for questions, discussions and interaction with the speakers. The school is intended for graduate students of all levels, both theorists and experimentalists, preferably with some knowledge of quantum field theory.

Previous TRISEP Schools:

2025, 2024, 2023, 2022, 2021,2019,2018, 2017, 2016, 2015, 2014 and 2013.

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Scientific Organizers

Cliff Burgess (McMaster University, Perimeter Institute)
Mina Arvanitaki (Perimeter Institute)
Marcela Carena (Perimeter Institute, University of Chicago)
Michael Fedderke (Perimeter Institute)
Junwu Huang (Perimeter Institute)
Sergei Sibiryakov (McMaster University, Perimeter Institute)
Carlos Wagner (University of Chicago)

This course is part of the 2026 Undergraduate Summer School curriculum. This course will provide a short introduction to loop quantum cosmology.  After a brief overview of the physics and geometry underlying cosmology, we will explore how it is possible to obtain a quantum description of cosmology.  As a part of this, we will discuss conceptual questions underlying quantum cosmology including the problem of time and the lack of an external observer, and some possible resolutions.  Finally, we will see how loop quantum gravity motivates a particular quantization for cosmology that gives loop quantum cosmology.  In the last part of the course, we will study the physics predicted by loop quantum cosmology in the primordial universe.

This course is part of the 2026 Undergraduate Summer School curriculum and about the Foundations of Quantum Theory.  We will look at simple thought experiments that raise interesting conceptual issues concerning quantum superposition and quantum entanglement.  We will consider some of the main interpretations that attempt to make sense of Quantum Theory.  And we will delve into the mathematical structure of Quantum Theory in an attempt to make operational sense out of it.   We will touch on connections of Quantum Foundational thinking with problems considered in Quantum Information and Quantum Gravity.

This course is part of the 2026 Undergraduate Summer School curriculum. We will explore some of the interesting combinatorial and algebraic structures in perturbative quantum field theory and look at how they can be helpful for quantum field theory calculations as well as how they tie to topics of mathematical interest.

This course is part of the 2026 Undergraduate Summer School curriculum. This four-lecture course traces dark matter from the evidence that it must exist (Bullet Cluster, CMB, galactic rotation curves) through the two leading models — heavy thermal relics protected by a symmetry (WIMPs) and ultralight bosons produced non-thermally (axions). The final lecture turns to detection, and discusses how to build a dark matter experiment.

This course is part of the 2026 Undergraduate Summer School curriculum. This course introduces modern artificial neural network architectures and explores how they can be used to study quantum many-body systems as key models underlying quantum computation and condensed matter physics. Students will learn the basics of quantum many-body theory and artificial neural networks and see how these tools can be combined to represent quantum states, analyze data, and optimize quantum experiments. The course provides both conceptual foundations and practical insight into how artificial intelligence is transforming the study of complex quantum systems.

This course is part of the 2026 Undergraduate Summer School curriculum. This course is an introduction to basic cosmology based on Einstein’s theory of gravity (general relativity), to the modern ΛCDM model of the universe and its limitations, and to dark energy. The last lecture is non-standard and explores a plausible alternative to dark energy based on alternative theories of gravity. You are encouraged to ask questions in class (and outside) at all times.

Field-level inference has recently emerged as a powerful alternative to traditional summary-statistic approaches in the analysis of cosmological data sets. This technique exploits the full information content of data from the cosmic microwave background, galaxy redshift surveys, and forthcoming multi-wavelength imaging campaigns, allowing us to extract considerably more information from cosmic surveys compared to traditional analysis methods focused on modeling two-point correlations. This workshop will convene cosmologists, statisticians, machine-learning practitioners, and high-performance-computing experts to accelerate progress on this rapidly evolving frontier. 

All sessions will be plenary to maximise cross-disciplinary dialogue, with ample time reserved for  structured discussion and collaborative problem-solving.

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Speakers

Adrian Bayer (Flatiron Institute / Princeton University)
Carolina Cuesta-Lazaro (Flatiron Institute)
Natali de Santi (Berkeley)
Adriaan Duivenvoorden (MPA Garching)
Fei Ge (Caltech)*
Yashar Hezaveh (Université de Montréal)
Mikhail Ivanov (MIT)
Jens Jasche (Stockholm University)
Azadeh Moradinezhad (CNRS - LAPTh)
Fabian Schmidt (MPA Garching)
Uros Seljak (University of California, Berkeley)
*Virtual Presenter

Scientific Organizers

Marco Bonici (University of Waterloo)
Neal Dalal (Perimeter Institute)
Beatriz Tucci (Stanford University)