June 13, 2022 to July 8, 2022
Mainz Institute for Theoretical Physics, Johannes Gutenberg University
Europe/Berlin timezone

This workshop will bring together experts in the growing field of machine learning in particle physics, with a focus on theory applications. This direction within the broad field of machine learning has the potential to conceptually change the kinds of fundamental questions we will tackle in the coming years.

A wide range of theory applications forces us to adapt established approaches and tools from big-data research to field-specific fundamental physics questions. Major research directions include first-principle simulations, the treatment of high-dimensional model spaces, and extracting the mathematical structure of our fundamental theory.

The workshop will last 4 weeks, with a different focus on each week:

Week 1 - Applications of ML to string theory and mathematics.

Week 2 - Simulating Quantum Fields.

Week 3 - Cosmology and Particle phenomenology.

Week 4 - Phenomenological and experimental aspects.


Mainz Institute for Theoretical Physics, Johannes Gutenberg University
Staudingerweg 9 / 2nd floor, 55128 Mainz

Organized by Jim Halverson (Northeastern Univ./IAIFI), Sven Krippendorf (Munich Univ.),
Michela Paganini (DeepMind), Tilman Plehn (Heidelberg Univ., Diversity Coordinator),
and Veronica Sanz (Univ. of Valencia / Univ. Sussex).

MITP supports equal opportunities in science.